Abstract
In recent years, a large number of manipulator robots have been deployed to replace or assist humans in many repetitive and dangerous tasks. Yet, these robots have complex mechanisms, resulting in their non-linearity of kinematics and dynamics as well as intensive computations. Therefore, relying on soft computing techniques are a common and alternative key to model and control these systems. In particular, fuzzy logic approaches have proven to be simple, efficient, and superior to relevant well-known methods and have sparked greater interest in robotic applications. To help researchers meet their needs easily and quickly in finding relevant research works on fuzzy-based solutions, this article adapted to provide an in-depth review of the currently updated fuzzy logic approaches for collision-free path planning of serial manipulator robots operating in complex and cluttered workspaces. In addition to a comprehensive description of fuzzy hybridization with other artificial intelligence techniques description. Further, this article attempts to present the main solutions with a summary and visualization of all basic approaches that path-planning problems may subtend in the decision-making process. Finally, the paper suggests some potential challenges and explores research issues for future work.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abbas M, Narayan J, Dwivedy SK (2019) Simulation analysis for trajectory tracking control of 5-DOFs robotic arm using ANFIS approach. In: 2019 5th International Conference on Computing, Communication, Control and Automation (ICCUBEA), pp. 1–6. IEEE
Abpeykar S, Ghatee M (2014) Supervised and unsupervised learning dss for incident management in intelligent tunnel: A case study in tehran niayesh tunnel. Tunn Undergr Space Technol 42:293–306
Abu-Dakka FJ, Assad IF, Alkhdour RM, Abderahim M (2017) Statistical evaluation of an evolutionary algorithm for minimum time trajectory planning problem for industrial robots. J Adv Manuf Technol 89(1–4):389–406
Abu-Dakka FJ, Rubio F, Valero F, Mata V (2013) Evolutionary indirect approach to solving trajectory planning problem for industrial robots operating in workspaces with obstacles. European Journal of Mechanics-A/Solids 42:210–218
Abu-Dakka FJM (2011) Trajectory planning for industrial robot using genetic algorithms. PhD thesis, Universitat Politècnica de València
Agarwal V (2012) Trajectory planning of redundant manipulator using fuzzy clustering method. Int J Adv Manuf Technol 61(5–8):727–744
Aghajarian M, Kiani K (2011) Inverse kinematics solution of PUMA 560 robot arm using ANFIS. In: 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 574–578. IEEE
Ahmad MA, Nasir ANK, Hambali N, Ishak H (2008) Vibration and input tracking control of flexible manipulator using hybrid fuzzy logic controller. In: 2008 IEEE International Conference on Mechatronics and Automation, pp. 593–598. IEEE
Ahmad MA, Ismail RR, Ramli M, Zawawi MA, Suid MH (2010) Vibration control strategy for flexible joint manipulator: a fuzzy logic control approach. In: 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA), pp. 469–474. IEEE
Ahmed SU, Malik UA, Iqbal M, Kunwar F (2013) A guided autowave pcnn for improved real time path planning. In: The 2013 International Joint Conference on Neural Networks (IJCNN), pp. 1–7. IEEE
Ahrikencheikh C, Seireg AA (1994) Optimized-motion planning: theory and implementation. Wiley, New Jersey
Ahson SI, Sharkey NE, Nicolas B (1996) Avoiding joint limits and obstacles for kinematically redundant manipulators: a fuzzy-logic based approach. In: Proceedings of The 5th International Fuzzy Systems, vol 3, pp 1777–1781. IEEE
Al-Dois H, Jha A, Mishra R (2014) GA-based control of a robot manipulator in a foundry workcell. In: Asia-Pacific World Congress on Computer Science and Engineering, pp 1–8. IEEE
Alavandar S, Nigam M (2008) Inverse kinematics solution of 3-DOF planar robot using ANFIS. Int J Comput Commun Control 3:150–155
Althoefer K, Seneviratne LD, Zavlangas P, Krekelberg B (1998) Fuzzy navigation for robotic manipulators. Internat J Uncertain Fuzziness Knowledge-Based Systems 6(02):179–188
Althoefer KA (1997) Neuro-fuzzy motion planning for robotic manipulators. PhD thesis, King’s College London, University of London, UK
Álvarez D, Gómez JV, Garrido S, Moreno L (2015) Geometrically constrained path planning with fast marching square. In: 2015 23rd Mediterranean Conference on Control and Automation (MED), pp 1014–1019. IEEE
Amouri A, Mahfoudi C, Zaatri A, Lakhal O, Merzouki R (2017) A metaheuristic approach to solve inverse kinematics of continuum manipulators. Proc Inst Mech Eng Part I 231(5):380–394
Angeles J (2014) Fundamentals of robotic mechanical systems: theory, methods, and algorithms. Springer, Switzerland, p 589
Arismendi Gutiérrez CA (2015) Dexterous robotic motion planning using intelligent algorithms. PhD thesis, Universidad Carlos III de Madrid, Departamento de Ingenieria de Sistemas y Automatica
Aseri NAM, Ismail MA, Fakharudin AS, Ibrahim AO (2020) Review of the meta-heuristic algorithms for fuzzy modeling in the classification problem. Int J Adv Trends Comput Sci Eng 9(1.4)
Attaviriyanupap P, Kita H, Tanaka E, Hasegawa J (2004) A fuzzy-optimization approach to dynamic economic dispatch considering uncertainties. IEEE Trans Power Syst 19(3):1299–1307
Ayawli BBK, Chellali R, Appiah AY, Kyeremeh F (2018) An overview of nature-inspired, conventional, and hybrid methods of autonomous vehicle path planning. J Adv Transp 2018:1–27
Bagchi A, Hatwal H (1992) Fuzzy logic-based techniques for motion planning of a robot manipulator amongst unknown moving obstacles. Robotica 10(6):563–574
Baklouti N, Lamti HA, Salhi K, Alimi AM (2013) PSO-based adaptive learning fuzzy logic controller for the irobot create robot. In: 13th International Conference on Hybrid Intelligent Systems (HIS 2013), pp 99–104. IEEE
Balch T (1993) Avoiding the past: A simple but effective strategy for reactive navigation. In: [1993] Proceedings IEEE International Conference on Robotics and Automation, pp 678–685. IEEE
Banga VK (2011) Performance improvement in robotic arm movement using fuzzy and genetic algorithms. PhD thesis, Thapar University, India
Barraquand J, Kavraki L, Latombe J-C, Motwani R, Li T-Y, Raghavan P (1997) A random sampling scheme for path planning. Int J Robot Res 16(6):759–774
Beata J (2018) Fuzzy logic controller for robot manipulator control system. In: 2018 Applications of Electromagnetics in Modern Techniques and Medicine (PTZE), pp 77–80. IEEE
Beheshti M, Tehrani A (1999) Obstacle avoidance for kinematically redundant robots using an adaptive fuzzy logic algorithm. In: Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), vol 2, pp 1371–1375. IEEE
Beltran EP, Diwa AAS, Gales BTB, Perez CE, Saguisag CAA, Serrano KKD (2018) Fuzzy logic-based risk estimation for safe collaborative robots. In: 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), pp 1–5. IEEE
Bernal M, Guerra TM, Kruszewski A (2009) A membership-function-dependent approach for stability analysis and controller synthesis of takagi-sugeno models. Fuzzy Sets Syst 160(19):2776–2795
Bertram D, Kuffner J, Dillmann R, Asfour T (2006) An integrated approach to inverse kinematics and path planning for redundant manipulators. In: Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., pp 1874–1879. IEEE
Bhatia A, Kavraki LE, Vardi MY (2010) Sampling-based motion planning with temporal goals. In: 2010 IEEE International Conference on Robotics and Automation, pp 2689–2696. IEEE
Bhatia V, Kalaichelvi V, Karthikeyan R (2015) Application of a novel fuzzy logic controller for a 5-DOF articulated anthropomorphic robot. In: 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp 208–213. IEEE
Biglarbegian M, Melek WW, Mendel JM (2010) Design of novel interval type-2 fuzzy controllers for modular and reconfigurable robots: theory and experiments. IEEE Trans Ind Electron 58(4):1371–1384
Bingul Z, Karahan O (2012) Dynamic modeling and simulation of stewart platform. In: Serial and Parallel Robot Manipulators - Kinematics, Dynamics, Control and Optimization, pp 19–42. Intech Open Access Publisher, London, UK. Chap. 2
Bingül Z, Karahan O (2011) A fuzzy logic controller tuned with PSO for 2-DOF robot trajectory control. Expert Syst Appl 38(1):1017–1031
Blackmore L, Williams B (2006) Optimal manipulator path planning with obstacles using disjunctive programming. In: 2006 American Control Conference, p. 3. IEEE
Blanco JL, Bellone M, Gimenez-Fernandez A (2015) TP-space RRT-kinematic path planning of non-holonomic any-shape vehicles. Int J Adv Rob Syst 12(5):55
Botsali FM, Tinkir M, Kalyoncu M, Önen Ü (2010) Fuzzy logic trajectory control of flexible robot manipulator with rotating prismatic joint. In: 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), vol 3, pp 35–39. IEEE
Bouchiba F, Nouibat W (2015) Neuro-fuzzy navigation of a mobile robot in an unknown environment. Int Rev Autom Control 8(3):220–227
Brooks RA (1983) Solving the find-path problem by good representation of free space. IEEE Trans Syst Man Cybern 2:190–197
Brooks RA, Lozano-Perez T (1985) A subdivision algorithm in configuration space for findpath with rotation. IEEE Trans Syst Man Cybern 2:224–233
Brooks RA (1992) Artificial life and real robots. In: Proceedings of The 1st European Conference on Artificial Life, pp. 3–10
Budiharto W (2015) Intelligent surveillance robot with obstacle avoidance capabilities using neural network. Computational intelligence and neuroscience (2015)
Bueno-López M, Arteaga-Pérez MA (2011) Fuzzy logic control of a robot manipulator in 3D based on visual servoing. IFAC Proc Vol 44(1):14578–14583
Bulgakov AG, Raheem FA (2008) Fuzzy logic structure for on-line control of robot manipulator in unknown environment. In: Prospects in Mechanical Engineering: Proceedings; 53. IWK, Internationales Wissenschaftliches Kolloquium, 8–12 September 2008, vol. 53
Cai K, Wang C, Cheng J, De Silva CW, Meng MQ-H (2020) Mobile robot path planning in dynamic environments: A survey. arXiv preprint arXiv:2006.14195
Campos L, Bourbonnais F, Bonev IA, Bigras P (2010) Development of a five-bar parallel robot with large workspace. In: The 34th Annual Mechanisms and Robotics Conference, Parts A and B, vol 2. Montreal, Canada, pp 917–922
Canny J (1988) The complexity of robot motion planning. MIT Press, Cambridge, England
Canny J, Donald B (1990) Simplified voronoi diagrams. In: Autonomous Robot Vehicles, pp. 272–289. Springer, New York
Canny J, Reif J (1987) Lower bounds for shortest path and related problems. In: Proceedings of The 28th IEEE Annual Symposium on Foundations of Computer Science (FOCS), vol. 49, p. 60. IEEE
Canny JF (1989) On computability of fine motion plans. In: Proceedings 1989 IEEE International Conference on Robotics and Automation, 1989. ICRA 1989, pp. 177–182. IEEE
Castillo O, Melin P (2003) Soft computing and fractal theory for intelligent manufacturing, vol 117. Springer, New York
Castillo O, Melin P (2012) A review on the design and optimization of interval type-2 fuzzy controllers. Appl Soft Comput 12(4):1267–1278
Castillo O, Melin P (2014) A review on interval type-2 fuzzy logic applications in intelligent control. Inf Sci 279:615–631
Castillo O, Melin P, Kacprzyk J, Pedrycz W (2007) Type-2 fuzzy logic: theory and applications. In: 2007 IEEE International Conference on Granular Computing (GRC 2007), pp 145–145. IEEE
De Castro LN, Castro LN, Timmis J (2002) Artificial immune systems: a new computational intelligence approach. Springer, UK
Chan K, Zalzala A (1993) Genetic-based minimum-time trajectory planning of articulated manipulators with torque constraints. In: IEE Colloquium on Genetic Algorithms for Control Systems Engineering, pp 4–1. IET
Chang C-W, Lee H-W, Liu C-H (2018) A review of artificial intelligence algorithms used for smart machine tools. Inventions 3(3):41
Chang J-W, Wang R-J, Wang W-J, Huang C-H (2015) Implementation of an object-grasping robot arm using stereo vision measurement and fuzzy control. Int J Fuzzy Syst 17(2):193–205
Chatterjee A, Pulasinghe K, Watanabe K, Izumi K (2005) A particle-swarm-optimized fuzzy-neural network for voice-controlled robot systems. IEEE Trans Ind Electron 52(6):1478–1489
Chatti N, Chatti A (2010) Robust adaptive fuzzy control and strategy of avoidance of obstacles for a manipulator arm to serve the people disabilities. IFAC Proc Vol 43(8):402–409
Chaumette F, Hutchinson S, Corke P (2016) Visual servoing. In: Siciliano B, Khatib O (eds) Springer handbook of robotics. Springer, Berlin, Heidelberg, pp 841–866
Chazelle B (1985) Approximation and decomposition of shapes. Algorith Geom Aspects Robot 1:145–185
Chazelle B, Dobkin D (1979) Decomposing a polygon into its convex parts. In: Proceedings of The 11th Annual ACM Symposium on Theory of Computing, pp. 38–48
Chazelle B, Dobkin DP (1985) Optimal convex decompositions. Machine Intelligence and Pattern Recognition, vol 2. Computational Geometry. Elsevier, The Netherlands, pp 63–133
Chen Z, Li Z, Chen CP (2016) Disturbance observer-based fuzzy control of uncertain mimo mechanical systems with input nonlinearities and its application to robotic exoskeleton. IEEE Trans Cybernetics 47(4):984–994
Chen G, Liu D, Wang Y, Jia Q, Zhang X (2018) Path planning method with obstacle avoidance for manipulators in dynamic environment. Int J Adv Rob Syst 15(6):1729881418820223
Chen X, Zhang Y, Xie J, Du P, Chen L (2018) Robot needle-punching path planning for complex surface preforms. Robot Comput Integr Manuf 52:24–34
Chen Y, Wang Y, Yu X (2012) Obstacle avoidance path planning strategy for robot arm based on fuzzy logic. In: 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), pp 1648–1653. IEEE
Chen Y, Wang Y, Miao Z (2013) Fuzzy-based trajectory planning for de-icing robot on high voltage transmission lines. In: 2013 Chinese Automation Congress, pp. 23–28. IEEE
Chen Z, Ma L, Shao Z (2019) Path planning for obstacle avoidance of manipulators based on improved artificial potential field. In: 2019 Chinese Automation Congress (CAC), pp 2991–2996. IEEE
Cheng H, Cheng H-D (1996) Feasible map algorithm for path planning. Robot Auton Syst 17(3):149–170
Chettibi T, Haddad M, Rebai S, Hentout A (2006) A stochastic off line planner of optimal dynamic motions for robotic manipulators. Informatics in Control. Automation and Robotics I. Springer, The Netherlands, pp 73–80
Chetty RK, Ponnambalam S (2012) A heuristic approach towards path planning and obstacle avoidance control of planar manipulator. In: International Conference on Intelligent Robotics, Automation, and Manufacturing, pp 1–11. Springer
Chiang H-T, Malone N, Lesser K, Oishi M, Tapia L (2015) Aggressive moving obstacle avoidance using a stochastic reachable set based potential field. In: Algorithmic Foundations of Robotics XI vol. 107, pp. 73–89. Springer, Switzerland
Chiu SL (1994) Fuzzy model identification based on cluster estimation. J Intell Fuzzy Syst 2(3):267–278
Cho W-J, Kwon D-S (1996) A sensor-based obstacle avoidance for a redundant manipulator using a velocity potential function. In: Proceedings of The 5th IEEE International Workshop on Robot and Human Communication (RO-MAN’96), pp 306–310. IEEE
Chongistitvatana P, Polvichai J (1996) Learning a visual task by genetic programming. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS’96, vol 2, pp 534–540. IEEE
Chongstitvatana P (1998) Improving robustness of robot programs generated by genetic programming for dynamic environments. In: IEEE. APCCAS 1998. 1998 IEEE Asia-Pacific Conference on Circuits and Systems. Microelectronics and Integrating Systems. Proceedings (Cat. No. 98EX242), pp 523–526. IEEE
Choset H, Henning W (1999) A follow-the-leader approach to serpentine robot motion planning. J Aerosp Eng 12(2):65–73
Choset HM, Lynch KM, Hutchinson S, Kantor G, Burgard W, Kavraki L, Thrun S, Arkin RC (2005) Principles of robot motion: theory, algorithms, and implementation. MIT Press, Cambridge, England
Chuang J-H (1998) Potential-based modeling of three-dimensional workspace for obstacle avoidance. IEEE Trans Robot Autom 14(5):778–785
Chuang J-H, Ahuja N (1998) An analytically tractable potential field model of free space and its application in obstacle avoidance. IEEE Trans Systems, Man, and Cybernetics, Part B (Cybernetics) 28(5):729–736
Chyan GS, Ponnambalam S (2012) Obstacle avoidance control of redundant robots using variants of particle swarm optimization. Robotics and Computer-Integrated Manufacturing 28(2):147–153
Colle E, Nait-Chabane K, Delarue S, Hoppenot P (2006) Arph: Comparison of a classical method and a method using man-machine collaboration to exploit the redundancy of the robotized assistant. AMSE 67:1–11
Conkur ES, Buckingham R (1997) Manoeuvring highly redundant manipulators. Robotica 15(4):435–447
Cramer NL (1985) A representation for the adaptive generation of simple sequential programs. In: Proceedings of The International Conference on Genetic Algorithms and Their Applications, pp. 183–187
Csiszar A (2017) Online path planning for industrial robots with integrated workspace limits and safety criterion. PhD thesis, Faculty of Construction, Production and Vehicle Technology, University of Stuttgart
Daachi B, Benallegue A (2006) A neural network adaptive controller for end-effector tracking of redundant robot manipulators. Journal of Intelligent & Robotic Systems 46(3):245–262
Dai Y, Zhao M (2015) Application of fuzzy ant colony algorithm to robotics arm avoiding obstacle path-planning problem. J Comput Theor Nanosci 12(12):5976–5983
Davis D, Supriya P (2016) Implementation of fuzzy-based robotic path planning. In: Proceedings of The 2nd International Conference on Computer and Communication Technologies, pp. 375–383. Springer
Davoodalhosseini A, Behbahani S (2015) Safe simulation of the manipulator in the presence of static and dynamic obstacles by using fuzzy system. Mechanics, Materials Science & Engineering Journal, 125–134
Dayan P, Watkins C (1992) Q-learning. Mach Learn 8(3):279–292
Demirli K, Cheng S, Muthukumaran P (2003) Subtractive clustering based modeling of job sequencing with parametric search. Fuzzy Sets Syst 137(2):235–270
Deng Y, Chen Y, Zhang Y, Mahadevan S (2012) Fuzzy dijkstra algorithm for shortest path problem under uncertain environment. Appl Soft Comput 12(3):1231–1237
Dewi T, Nurmaini S, Risma P, Oktarina Y, Roriz M (2020) Inverse kinematic analysis of 4-DOF pick and place arm robot manipulator using fuzzy logic controller. International Journal of Electrical & Computer Engineering (IJECE) 10(2):1376–1386
De Silva CW, Chung C, Lawrence C (1988) Base reaction optimization of robotic manipulators for space applications. In: The 19th International Symposium on Industrial Robots, pp. 829–852. IEEE, Sydney, Australia
de Silva CW (1995) Applications of fuzzy logic in the control of robotic manipulators. Fuzzy Sets Syst 70(2–3):223–234
Dhyani A, Panda MK, Jha B (2020) Design of an evolving fuzzy-PID controller for optimal trajectory control of a 7-DOF redundant manipulator with prioritized sub-tasks. Expert Syst Appl 162:113021
Dimeas F, Avendaño-Valencia LD, Aspragathos NA (2015) Human-robot collision detection and identification based on fuzzy and time series modelling. Robotica 33(9):1886–1898
Dimeas F, Avendano-Valencia L, Nasiopoulou E, Aspragathos N (2013) Robot collision detection based on fuzzy identification and time series modelling. In: Proceedings of the 22nd International Workshop on Robotics in Alpe-Adria-Danube Region, pp. 11–13
Ding H, Li H (1999) Fuzzy avoidance control strategy for redundant manipulators. Eng Appl Artif Intell 12(4):513–521
Dittrich F, Woern H (2015) Processing tracking quality estimations in a mixed local-global risk model for safe human robot collaboration. In: Austrian Robotics Workshop (AWR2015), pp. 55–56
Dorigo M (1995) Alecsys and the autonomouse: Learning to control a real robot by distributed classifier systems. Mach Learn 19(3):209–240
Dorigo M, Gambardella LM (1997) Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Trans Evol Comput 1(1):53–66
Dorigo M, Maniezzo V, Colorni A (1996) Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 26(1):29–41
Duffy BR (2003) Anthropomorphism and the social robot. Robot Auton Syst 42(3–4):177–190
Ehlert PA (1999) The use of artificial intelligence in autonomous mobile robots. Technical report, Faculty Information Technology and Systems, Delft University of Technology, The Netherlands
Eldukhri EE, Pham DT (2010) Autonomous swing-up control of a three-link robot gymnast. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 224(7):825–832
Elkari B, Ayad H, Abdeljalil EK, Mjahed M (2017) A new approach of fusion behavior-based fuzzy control for mobile robot navigation. International Review of Automatic Control 10(1):13
Escande A, Mansard N, Wieber P-B (2010) Fast resolution of hierarchized inverse kinematics with inequality constraints. In: 2010 IEEE International Conference on Robotics and Automation, pp 3733–3738. IEEE
Fahimi F (2009) Autonomous Robots, Modelling. Path Planning and Control. Springer, New York
Faraj MA, Abbood AM (2021) Fractional order PID controller tuned by bat algorithm for robot trajectory control. Indonesian Journal of Electrical Engineering and Computer Science 21(1):74–83
Farnebäck G (2003) Two-frame motion estimation based on polynomial expansion. In: Scandinavian Conference on Image Analysis, pp. 363–370. Springer
Ferguson D, Stentz A (2006) Using interpolation to improve path planning: The field d* algorithm. Journal of Field Robotics 23(2):79–101
Fong T, Thorpe C (2001) Vehicle teleoperation interfaces. Auton Robot 11(1):9–18
Foo JL, Knutzon J, Kalivarapu V, Oliver J, Winer E (2009) Path planning of unmanned aerial vehicles using b-splines and particle swarm optimization. J Aerosp Comput Inf Commun 6(4):271–290
Fragkopoulos C (2014) Automatic motion of manipulator using sampling based motion planning algorithms-application in service robotics. PhD thesis, Staats-und Universitätsbibliothek Bremen
Franks J, Chang Y-C, Yamamoto Y (2008) On-line path planning strategy integrated with collision and dead-lock avoidance schemes for wheeled mobile robot in indoor environments. Industrial Robot: An International Journal
Fu Y-l, Jin B, Li H, Wang S-g (2006) A robot fuzzy motion planning approach in unknown environments. Frontiers of Mechanical Engineering in China 1(3):336–340
Fujiko C, Dickinson J (1987) Using the genetic algorithm to generate lisp source code to solve the prisoner’s dilemma. In: Proceedings of The International Conference on Genetic Algorithms and Their Applications, pp. 236–240
Galceran E, Carreras M (2013) A survey on coverage path planning for robotics. Robot Auton Syst 61(12):1258–1276
Gao H, Lu S, Wang T (2020) Motion path planning of 6-DOF industrial robot based on fuzzy control algorithm. Journal of Intelligent & Fuzzy Systems 38(4):3773–3782
Gao X, Mu Y, Gao Y (2016) Optimal trajectory planning for robotic manipulators using improved teaching-learning-based optimization algorithm. Industrial Robot: An International Journal 43(3):308–316
Garg V, Tiwari R (2016) A chronological review of the approaches used for multi-robot navigation. In: International Conference on Recent Trends in Engineering, Science & Technology (ICRTEST 2016), pp. 1–8. IET
Gemeinder M, Gerke M (2003) GA-based path planning for mobile robot systems employing an active search algorithm. Appl Soft Comput 3(2):149–158
Ghandi S, Masehian E (2015) Review and taxonomies of assembly and disassembly path planning problems and approaches. Comput Aided Des 67–68(2015):58–86
Gigras Y, Jora N, Dhull A (2016) Comparison between different meta-heuristic algorithms for path planning in robotics. International Journal of Computer Applications 142(3):6–10
Giorelli M, Renda F, Ferri G, Laschi C (2013) A feed-forward neural network learning the inverse kinetics of a soft cable-driven manipulator moving in three-dimensional space. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5033–5039. IEEE
Godjevac J (1995) Comparative study of fuzzy control, neural network control and neuro-fuzzy control. Fuzzy Set Theory and Advanced Mathematical Applications, vol 4. International Series in Intelligent Technologies. Springer, Boston, pp 291–322
Gorial II (2015) Redundant three-link robot manipulator local approach. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) 10(2):81–88
Gorial II (2015) Online planning system for serial manipulator multi links. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) 10(4):08–14
Graf J, Czapiewski P, Wörn H (2010) Evaluating risk estimation methods and path planning for safe human-robot cooperation. In: ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics), pp. 1–7. IEEE
Graf J, Puls S, Wörn H (2009) Incorporating novel path planning method into cognitive vision system for safe human-robot interaction. In: 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, pp. 443–447. IEEE
Graham JH (1987) Computer Architecture for Robotics and Automation. Gordon and Breach Science Publishers Inc., New York
Gul F, Rahiman W, Alhady SSN (2019) A comprehensive study for robot navigation techniques. Cogent Eng 6(1):1632046
Guo W, Li R, Zhu Y, Yang T, Qin R, Hu Z (2019) A robotic deburring methodology for tool path planning and process parameter control of a five-degree-of-freedom robot manipulator. Appl Sci 9(10):2033
Guo D, Zhang Y (2014) Acceleration-level inequality-based man scheme for obstacle avoidance of redundant robot manipulators. IEEE Trans Industr Electron 61(12):6903–6914
Guo D, Zhang Y (2012) A new inequality-based obstacle-avoidance mvn scheme and its application to redundant robot manipulators. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 42(6):1326–1340
Gupta K, Pobil AP (1998) Practical Motion Planning in Robotics: Current Approaches and Future Directions. John Wiley & Sons Inc, New Jersey
Hagras H, Sobh T (2002) Intelligent learning and control of autonomous robotic agents operating in unstructured environments. Inf Sci 145(1–2):1–12
Han H-s-a-q-e, Han C-Y, Xu Z-B, Zhu M-C, Yu Y, Wu Q-W (2019) Kinematics analysis and testing of novel 6-p-rr-r-rr parallel platform with offset rr-joints. Proc Inst Mech Eng Part C 233(10):3512–3530
Harish A, Chandrashekhar A, Satish Babu G (2018) Path planning of a parallel manipulator using A* algorithm. International Journal of Management, Technology And Engineering 8(X):1387–1392
Haykin S (2009) Neural Networks and Learning Machines, 3rd edn. Prentice Hall, New York
He J, Luo M, Xu L, Zhao J, Li T (2015) Adaptive fuzzy sliding mode controller for end-effector tracking of redundant manipulators. In: 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2401–2406. IEEE
Helbing D, Farkas I, Vicsek T (2000) Simulating dynamical features of escape panic. Nature 407(6803):487–490
Hentout A, Aouache M, Maoudj A, Akli I (2019) Human-robot interaction in industrial collaborative robotics: A literature review of the decade 2008–2017. Adv Robot 33(15–16):764–799
Hentout A, Maoudj A, Yahiaoui D, Aouache M (2019) RRT-A*-BT approach for optimal collision-free path planning for mobile robots. Algerian Journal of Signals and Systems 4(2):39–50
Hentout A, Messous MA, Bouzouia B (2015) Fault-tolerant multi-agent control architecture for autonomous mobile manipulators: Simulation results. Comput Electr Eng 43:238–256
Hentout A, Bouzouia B, Akli I, Toumi R (2010) Mobile manipulation: A case study. Robot manipulators, new achievements, 145–167
Hentout A, Messous MA, Oukid S, Bouzouia B (2013) Multi-agent fuzzy-based control architecture for autonomous mobile manipulators: Traditional approaches and multi-agent fuzzy-based approaches. In: International Conference on Intelligent Robotics and Applications, pp. 679–692. Springer
Hentout A, Maoudj A, Guir D, Saighi S, Harkat MA, Hammouche MZ, Bakdi A (2019) Collision-free path planning for indoor mobile robots based on rapidly-exploring random trees and piecewise cubic hermite interpolating polynomial. International Journal of Imaging and Robotics 19(03)
Hentout A, Bouzouia B, Toumi R, Toukal Z (2009) Agent-based coordinated control of mobile manipulators. In: The International Conference on Systems and Processing Information (ICSIP’09)
Hentout A, Bouzouia B, Toukal Z, Toumi R (2009) Multi-agent remote control of the robuter/ulm mobile manipulator robot. In: 2009 IEEE International Conference on Mechatronics, pp. 1–6. IEEE
Hentout A, Mustapha A, Maoudj A, Akli I (2018) Key challenges and open issues of industrial collaborative robotics. In: 27th International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2018), Workshop on Human-Robot Interaction: From Service to Industry (HRI-SI2018). IEEE
Hentout A, Lehtihet H, Chettibi T, Bouzouia B (2010) Roadmap-based collision-free trajectory planning for manipulator robots. Journal of Modelling & Simulation of Systems 1(1)
Hsu P, Mauser J, Sastry S (1989) Dynamic control of redundant manipulators. J Robot Syst 6(2):133–148
Hsu D, Kavraki LE, Latombe J-C, Motwani R, Sorkin S (1998) On finding narrow passages with probabilistic roadmap planners. In: Robotics: The Algorithmic Perspective: 1998 Workshop on the Algorithmic Foundations of Robotics, pp. 141–154
Hu Y, Yang SX (2004) A knowledge based genetic algorithm for path planning of a mobile robot. In: IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA’04. 2004, vol. 5, pp. 4350–4355. IEEE
Huang S-J, Yang D-N (1997) Fuzzy logic controller for a SCARA robot with synchronous network. Int J Comput Appl Technol 10(1–2):15–26
Huang H-C, Chen C-P, Wang P-R (2012) Particle swarm optimization for solving the inverse kinematics of 7-DOF robotic manipulators. In: The International Conference on Systems, Man, and Cybernetics (SMC), pp. 3105–3110. IEEE
Hui D, Fuchun S, Zengqi S (2002) Observer-based adaptive controller design of flexible manipulators using time-delay neuro-fuzzy networks. Journal of Intelligent & Robotic Systems 34(4):453–466
Ikeda K, Tanaka H, Zhang T-x, Minami M, Mae Y (2006) On-line optimization of avoidance ability for redundant manipulator. In: The IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 592–597. IEEE
Infantino I, Chella A, Dindo H, Macaluso I (2005) A cognitive architecture for robotic hand posture learning. IEEE Trans Syst Man Cybernetics Part C 35(1):42–52
Islam MN (2008) Implementation of a new backtrack free path planning algorithm for manipulators. PhD thesis, Program of System Design Engineering Graduate School of Engineering, Graduate School of Engineering, University of Fukui, Japan
Jain R, Sivakumaran N, Radhakrishnan TK (2011) Design of self tuning fuzzy controllers for nonlinear systems. Expert Syst Appl 38(4):4466–4476
Jang J-SR, Sun C-T, Mizutani E (1997) Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence. IEEE Trans Autom Control 42(10):1482–1484
Jassadapakorn C, Chongstitvatana P (2002) Reactive planning with evolutionary computation. In: National Computer Science and Engineering Conference, Pattaya, Thailand, pp. 357–361
Jiao J, Cao Z, Zhao P, Liu X, Tan M (2013) Bezier curve based path planning for a mobile manipulator in unknown environments. In: 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp 1864–1868. IEEE
Jin L, Li S, Yu J, He J (2018) Robot manipulator control using neural networks: a survey. Neurocomputing 285:23–34
Jing X, Guangxin W, Chongyang L, Hong L (2016) Real-time collision detection for manipulators based on fuzzy synthetic evaluation. In: 2016 IEEE International Conference on Mechatronics and Automation, pp. 777–782. IEEE
John-Otumu AM, Ogba GU, Nwokonkwo OC (2020) A survey on artificial intelligence based techniques for diagnosis of hepatitis variants. Journal of Advances in Science and Engineering 3(1):43–56
Kala R, Shukla A, Tiwari R (2010) Fusion of probabilistic A* algorithm and fuzzy inference system for robotic path planning. Artif Intell Rev 33(4):307–327
Kalita B, Narayan J, Dwivedy SK (2020) Development of active lower limb robotic-based orthosis and exoskeleton devices: A systematic review. International Journal of Social Robotics, 1–19
Kamali K, Bonev IA, Desrosiers C (2020) Real-time motion planning for robotic teleoperation using dynamic-goal deep reinforcement learning. In: 2020 17th Conference on Computer and Robot Vision (CRV), pp. 182–189. IEEE
Kambhampati S, Davis L (1986) Multiresolution path planning for mobile robots. IEEE Journal on Robotics and Automation 2(3):135–145
Kar I, Premkumar P, Behera L (2008) Visual motor control of a 6-DOF robot manipulator using a fuzzy learning paradigm. In: 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), pp. 1166–1173. IEEE
Katic D, Vukobratovic M (2013) Intelligent Control of Robotic Systems, vol 25. Springer, Dordrecht
Katic D, Vukobratovic M (2003) Intelligent control of robotic systems. In: Tzafestas SG (ed) International Series on Microprocessor-based and Intelligent Systems Engineering. Springer, Dordrecht, pp 21–161
Kavraki LE, Svestka P, Latombe J-C, Overmars MH (1996) Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans Robot Autom 12(4):566–580
Kavraki L, Latombe J-C (1994) Randomized preprocessing of configuration for fast path planning. In: Proceedings of the 1994 IEEE International Conference on Robotics and Automation, pp. 2138–2145. IEEE
Kennedy J, Eberhart RC, Shi Y (2001) Swarm Intelligence. Morgan Kaufmann Publishers, San Francisco
Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of International Conference on Neural Networks (ICNN’95), vol. 4, pp. 1942–1948. IEEE
Kermiche S, Larbi SM, Abbassi HA (2007) Fuzzy logic control of robot manipulator in the presence of fixed obstacle. Int Arab J Inf Technol 4(2):26–32
Khalil W, Gallot G, Boyer F (2007) Dynamic modeling and simulation of a 3-d serial eel-like robot. IEEE Trans Syst Man Cybern Part C 37(6):1259–1268
Khatib O (1983) Dynamic control of manipulator in operational space. In: Proceedings of The 6th IFToMM World Congress on Theory of Machines and Mechanisms, pp. 1128–1131
Khatib O (1986) Real-time obstacle avoidance for manipulators and mobile robots. In: Autonomous Robot Vehicles, pp. 396–404. Springer, New York
Khoiy KA, Davatgarzadeh F, Taheri M (2013) A review on fuzzy-logic method to control robotic manipulator systems. Univ J Comput Anal 1(2013):40–47
Khosla P, Volpe R (1988) Superquadric artificial potentials for obstacle avoidance and approach. In: Proceedings of The 1988 IEEE International Conference on Robotics and Automation, pp. 1778–1784. IEEE
Khoukhi A, Baron L, Balazinski M, Demirli K (2008) A hierarchical neuro-fuzzy system to near optimal-time trajectory planning of redundant manipulators. Eng Appl Artif Intell 21(7):974–984
Khoukhi A, Baron L, Balazinski M (2007) Multi-objective trajectory planning for redundant manipulators. In: The 5th International Conference on Industrial Automation, pp. 11–13
Khurpade JB, Dhami SS, Banwait SS (2011) A review of fuzzy logic based control of robotic manipulators. In: ASME International Mechanical Engineering Congress and Exposition, vol. 54938, pp. 241–257
Kiang CT, Spowage A, Yoong CK (2015) Review of control and sensor system of flexible manipulator. Journal of Intelligent & Robotic Systems 77(1):187–213
Kim J-O, Khosla P (1992) Real-time obstacle avoidance using harmonic potential functions. IEEE Transaction on Robotics and Automation 8:338–349
Kim J, Kim S-R, Kim S-J, Kim D-H (2010) A practical approach for minimum-time trajectory planning for industrial robots. Industrial Robot: An International Journal 37(1):51–61
Kim SH, Nam E, Ha TI, Hwang S-H, Lee JH, Park S-H, Min B-K (2019) Robotic machining: A review of recent progress. Int J Precis Eng Manuf 20(9):1629–1642
Kim YH, Lewis FL (2000) Optimal design of CMAC neural-network controller for robot manipulators. IEEE Trans Syst Man Cybern Part C 30(1):22–31
Kim S-W, Lee J-J (1993) Resolved motion rate control of redundant robots using fuzzy logic. In: Proceedings of The 2nd IEEE International Conference on Fuzzy Systems, pp. 333–338. IEEE
Knispel L, Matousek R (2013) A performance comparison of rapidly-exploring random tree and dijkstra’s algorithm for holonomic robot path planning. Institute of Automation and Computer Science, Faculty of Mechanical Engineerig, Brno University of Technology, 154–162
Koren Y, Borenstein J (1991) Potential field methods and their inherent limitations for mobile robot navigation. In: IEEE International Conference on Robotics and Automation, 1991. Proceedings. ICRA’91, vol. 2, pp. 1398–1404
Koubaa A, Bennaceur H, Chaari I, Trigui S, Ammar A, Sriti M-F, Alajlan M, Cheikhrouhou O, Javed Y (2018) Background on artificial intelligence algorithms for global path planning. In: Robot Path Planning and Cooperation. Studies in Computational Intelligence, vol. 772, pp. 13–51. Springer, Switzerland. Chap. 2
Koyuncu B, Güzel M (2007) Software development for the kinematic analysis of a lynx 6 robot arm. World Academy of Science, Engineering and Technology 30:2007
Koza JR, Poli R (2005) Genetic programming. In: Burke EK, Kendall G (eds) Search Methodologies. Springer, Boston, MA, pp 127–164
Kramer J, Kandel A (2010) Robust small robot localization from highly uncertain sensors. IEEE Trans Syst Man Cybern Part C 41(4):509–519
Kubota N, Arakawa T, Fukuda T (1998) Motion learning for redundant manipulator with structured intelligence. In: IECON’98. Proceedings of The 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No. 98CH36200), vol. 1, pp. 104–109. IEEE
Kuffner JJ, LaValle SM (2000) RRT-connect: An efficient approach to single-query path planning. In: Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No. 00CH37065), vol. 2, pp. 995–1001. IEEE
Kumar N, Borm J-H, Panwar V, Chai J (2012) Tracking control of redundant robot manipulators using rbf neural network and an adaptive bound on disturbances. Int J Precis Eng Manuf 13(8):1377–1386
Kumar S, Rani K, Banga V (2017) Robotic arm movement optimization using soft computing. IAES International Journal of Robotics and Automation (IJRA) 6(1):1–14
Kundu S, Dayal RP (2010) A fuzzy approach towards behavioral strategy for navigation of mobile agent. In: International Conference on Emerging Trends in Robotics and Communication Technologies (INTERACT2010), pp. 292–297. IEEE
Kunz T, Reiser U, Stilman M, Verl A (2010) Real-time path planning for a robot arm in changing environments. In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5906–5911. IEEE
Köker R (2013) A neuro-simulated annealing approach to the inverse kinematics solution of redundant robotic manipulators. Engineering with Computers 29(4):507–515
LaValle SM (2006) Planning algorithms. Cambridge University Press, Cambridge, UK
LaValle SM, Kuffner JJ Jr (2001) Randomized kinodynamic planning. The international journal of robotics research 20(5):378–400
Ladd A, Kavraki LE (2002) Generalizing the analysis of prm. In: Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No. 02CH37292), vol. 2, pp. 2120–2125. IEEE
Lagaza K, Pandey A (2018) A literature review on motion planning of hexapod machines using different soft computing methods. Global Journal of Engineering, Science and Social Science Studies 3(1):1–10
Larsen L, Kim J, Kupke M (2014) Intelligent path panning towards collision-free cooperating industrial robots. In: Proceedings of The 12th ICINCO 2014 International Conference on Informatics in Control, Automation and Robotics, vol. 2
Latash ML (1993) Control of human movement. Human Kinetics
Latombe J-C (1999) Motion planning: A journey of robots, molecules, digital actors, and other artifacts. The International Journal of Robotics Research 18(11):1119–1128
Latombe J-C (2012) Robot motion planning, vol 124. Springer, New York
Lazrak M (1996) Nouvelle approche de commande optimale en temps final libre et construction d’algorythmes de commande de systèmes articulés. PhD thesis, Poitiers
Le TD, Kang H-J (2014) An adaptive tracking controller for parallel robotic manipulators based on fully tuned radial basic function networks. Neurocomputing 137:12–23
Lee S, Adams TM, Ryoo B-y (1997) A fuzzy navigation system for mobile construction robots. Autom Constr 6(2):97–107
Li S, Chen S, Liu B, Li Y, Liang Y (2012) Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks. Neurocomputing 91:1–10
Li Z, Chen W, Luo J (2008) Adaptive compliant force-motion control of coordinated non-holonomic mobile manipulators interacting with unknown non-rigid environments. Neurocomputing 71(7–9):1330–1344
Li Y, Tong S, Li T (2013) Adaptive fuzzy output feedback control for a single-link flexible robot manipulator driven DC motor via backstepping. Nonlinear Anal Real World Appl 14(1):483–494
Li Z, Zhao T, Chen F, Hu Y, Su C-Y, Fukuda T (2017) Reinforcement learning of manipulation and grasping using dynamical movement primitives for a humanoidlike mobile manipulator. IEEE/ASME Trans Mechatron 23(1):121–131
Li P, Du X (2004) A fuzzy logic learning control for vibration suppression of manipulator robot systems. In: 2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings., pp. 327–331. IEEE
Li J, Liu Y, Zang X (2018) Kinematics analysis for a heavy-load redundant manipulator arm based on gradient projection method. In: 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 260–264. IEEE
Li D, Wang H, You B (2009) Path planning research and simulation of planar 3r redundant robot. In: 2009 4th IEEE Conference on Industrial Electronics and Applications, pp. 2855–2858. IEEE
Lian R-J (2012) Grey-prediction self-organizing fuzzy controller for robotic motion control. Inf Sci 202:73–89
Lian R-J (2013) Enhanced adaptive grey-prediction self-organizing fuzzy sliding-mode controller for robotic systems. Inf Sci 236:186–204
Lian R-J (2013) Adaptive self-organizing fuzzy sliding-mode radial basis-function neural-network controller for robotic systems. IEEE Trans Industr Electron 61(3):1493–1503
Lian G, Sun Z, Il KK (2002) Smart collision free motion control for robot arms. In: Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No. 02EX527), vol. 4, pp. 2817–2821. IEEE
Likhachev M, Ferguson D (2009) Planning long dynamically feasible maneuvers for autonomous vehicles. The International Journal of Robotics Research 28(8):933–945
Lin H-T (2010) Fuzzy application in service quality analysis: An empirical study. Expert Syst Appl 37(1):517–526
Lin C-C, Chuang J-H (2010) A potential-based path planning algorithm for hyper-redundant manipulators. J Chin Inst Eng 33(3):415–427
Lin C-C, Chuang J-H, Hsieh C-T (2011) A path planning algorithm using generalized potential model for hyper-redundant robots with 2-DOF joints. Int J Adv Rob Syst 8(2):18
Lin J, Lewis F (2002) Fuzzy controller for flexible-link robot arm by reduced-order techniques. IEE Proceedings - Control Theory and Applications 149(3):177–187
Lin G, Zhu L, Li J, Zou X, Tang Y (2021) Collision-free path planning for a guava-harvesting robot based on recurrent deep reinforcement learning. Comput Electron Agric 188:106350
Liu KF (2007) A high-level fuzzy petri nets model for integrating quantitative and qualitative decision-making. Internat J Uncertain Fuzziness Knowledge-Based Systems 15(03):253–284
Liu Y-B, Dai Q (2015) Improvement of obstacle and singularity avoidance path planning algorithm for redundant manipulators. In: 2015 5th International Conference on Computer Sciences and Automation Engineering (ICCSAE 2015), pp. 959–969. Atlantis Press
Liu H, Huang Y, Shi W, Xu H (2008) Design of adaptive fuzzy controller for flexible link manipulator. In: The International Conference on Industrial Technology, pp. 1–4. IEEE
Loredo-Flores A, Gonzalez-Galvan EJ, Cervantes-SÁnchez JJ, Martinez-Soto A (2008) Optimization of industrial, vision-based, intuitively generated robot point-allocating tasks using genetic algorithms. IEEE Trans Syst Man Cybern Part C 38(4):600–608
Low ES, Ong P, Cheah KC (2019) Solving the optimal path planning of a mobile robot using improved q-learning. Robot Auton Syst 115:143–161
Lozano-Perez T (1981) Automatic planning of manipulator transfer movements. IEEE Trans Syst Man Cybern 11(10):681–698
Lozano-Pérez T, Wesley MA (1979) An algorithm for planning collision-free paths among polyhedral obstacles. Commun ACM 22(10):560–570
Luo J, Zhang J, Xie Z, Zhang X, Xiao L, Su X (2017) Acceleration-level inverse-free g2 scheme for inverse kinematics path tracking of robot manipulators. In: The 36th Chinese Control Conference (CCC), pp. 6804–6809. IEEE
López-Ibánez M, Stützle T (2010) The impact of design choices of multi-objective ant colony optimization algorithms on performance: An experimental study on the bi-objective TSP. In: Proceedings of The 12th Annual Conference on Genetic and Evolutionary Computation, pp. 71–78
Mac TT, Copot C, Tran DT, De Keyser R (2016) Heuristic approaches in robot path planning: a survey. Robot Auton Syst 86:13–28
Maciejewski AA, Klein CA (1985) Obstacle avoidance for kinematically redundant manipulators in dynamically varying environments. The International Journal of Robotics Research 4(3):109–117
Maeda Y, Kikuchi H, Izawa H, Ogawa H, Sugi M, Arai T (2003) An easily reconfigurable robotic assembly system. In: 2003 IEEE International Conference on Robotics and Automation (Cat. No. 03CH37422), vol. 2, pp 2586–2591. IEEE
Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7(1):1–13
Mamlook R, Ahamed TI, Maqbool SD, Al-Ammar EA, Malik N (2016) A fuzzy simulated annealing algorithm for minimizing consumer electricity bill under demand response. International Journal of Computer Science and Information Security 14(11):144
Manjaree S, Nakra BC, Agarwal V (2015) Comparative analysis for kinematics of 5-DOF industrial robotic manipulator. Acta Mech Autom 9(4)
Mao X, Wen X, Song Y, Li W, Chen G (2017) Eliminating drift of the head gesture reference to enhance google glass-based control of an NAO humanoid robot. Int J Adv Rob Syst 14(2):1729881417692583
Maoudj A, Hentout A (2020) Optimal path planning approach based on q-learning algorithm for mobile robots. Appl Soft Comput 97:106796
Maoudj A, Hentout A, Bouzouia B, Toumi R (2018) On-line fault-tolerant fuzzy-based path planning and obstacles avoidance approach for manipulator robots. Internat J Uncertain Fuzziness Knowledge-Based Systems 26(05):809–838
Martínez R, Castillo O, Aguilar LT (2009) Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms. Inf Sci 179(13):2158–2174
Mbede JB, Huang X, Wang M (2000) Fuzzy motion planning among dynamic obstacles using artificial potential fields for robot manipulators. Robot Auton Syst 32(1):61–72
Mbede JB, Huang X, Wang M (2003) Robust neuro-fuzzy sensor-based motion control among dynamic obstacles for robot manipulators. IEEE Trans Fuzzy Syst 11(2):249–261
Mendes N, Neto P (2015) Indirect adaptive fuzzy control for industrial robots: a solution for contact applications. Expert Syst Appl 42(22):8929–8935
Mendes N, Neto P, Pires JN, Loureiro A (2013) An optimal fuzzy-pi force/motion controller to increase industrial robot autonomy. The International Journal of Advanced Manufacturing Technology 68(1–4):435–441
Merchán-Cruz EA, Morris AS (2006) Fuzzy-GA-based trajectory planner for robot manipulators sharing a common workspace. IEEE Trans Rob 22(4):613–624
Meza JL, Santibáñez V, Soto R, Llama MA (2011) Fuzzy self-tuning PID semiglobal regulator for robot manipulators. IEEE Trans Industr Electron 59(6):2709–2717
Michels K, Klawonn F, Kruse R, Nürnberger A (2007) Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers, vol 200. Springer, Berlin, Heidelberg
Mindstorms (2021) https://www.lego.com/en-gb/themes/mindstorms
Mineo C, Pierce SG, Nicholson PI, Cooper I (2016) Robotic path planning for non-destructive testing: A custom matlab toolbox approach. Robotics and Computer-Integrated Manufacturing 37:1–12
Miro JV, White AS (2002) Quasi-optimal trajectory planning and control of a CRS A251 industrial robot. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216(4):343–356
Mirza N (2020) Robotic path planning and fuzzy neural networks. International Arab Journal of Science and Technology 17(4A):615–620
Mobadersany P, Khanmohammadi S, Ghaemi S (2015) A fuzzy multi-stage path-planning method for a robot in a dynamic environment with unknown moving obstacles. Robotica 33(9):1869
Mohamed NA, Azar AT, Abbas NE, Ezzeldin MA, Ammar HH (2020) Experimental kinematic modeling of 6-DOF serial manipulator using hybrid deep learning. In: Hassanien AE, Azar A, Gaber T, Oliva D, Tolba F (eds) The International Conference on Artificial Intelligence and Computer Vision (AICV2020), vol 1153. Advances in Intelligent Systems and Computing. Springer, Switzerland, pp 283–295
Mohanan M, Salgoankar A (2018) A survey of robotic motion planning in dynamic environments. Robot Auton Syst 100:171–185
Monteiro D, Madrid M (1999) Planning of robot trajectories with genetic algorithms. In: Proceedings of The 1st Workshop on Robot Motion and Control. RoMoCo’99 (Cat. No. 99EX353), pp. 223–228. IEEE
Moulianitis VC, Katrantzis EF, Stravopodis NA, Aspragathos NA (2017) A comparative study of three manipulator performance measures. In: International Conference on Robotics in Alpe-Adria Danube Region, pp. 19–27. Springer
Mu Z, Zhang B, Xu W, Li B, Liang B (2016) Fault tolerance kinematics and trajectory planning of a 6-DOF space manipulator under a single joint failure. In: The IEEE International Conference on Real-time Computing and Robotics (RCAR), pp 483–488. IEEE
Nagata C, Sakamoto E, Suzuki M, Aoyagi S (2010) Path generation and collision avoidance of robot manipulator for unknown moving obstacle using real-time rapidly-exploring random trees (RRT) method. In: Service Robotics and Mechatronics, pp. 335–340. Springer, London
Nakashima T, Yokota Y, Shoji Y, Ishibuchi H (2007) A genetic approach to the design of autonomous agents for futures trading. Artificial Life and Robotics 11(2):145–148
Nakhaeinia D, Payeur P, Laganiere R (2018) A mode-switching motion control system for reactive interaction and surface following using industrial robots. IEEE/CAA Journal of Automatica Sinica 5(3):670–682
Narayan J, Mishra S, Jaiswal G, Dwivedy SK (2020) Novel design and kinematic analysis of a 5-DOFs robotic arm with three-fingered gripper for physical therapy. Materials Today: Proceedings 28:2121–2132
Narayan J, Singla E, Soni S, Singla A (2018) Adaptive neuro-fuzzy inference system-based path planning of 5-degrees-of-freedom spatial manipulator for medical applications. The Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 232(7):726–732
Narayan J, Singla A (2017) ANFIS-based kinematic analysis of a 4-DOFs SCARA robot. In: The 4th International Conference on Signal Processing, Computing and Control (ISPCC), pp. 205–211. IEEE
Narukawa K, Yoshiike T, Tanaka K, Kuroda M (2017) Real-time collision detection based on one class svm for safe movement of humanoid robot. In: 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pp. 791–796. IEEE
Nazemizadeh M, Taheri M, Nazeri S (2014) The application of fuzzy-logic method to control of robots: a review study. International Journal of Mechanical Engineering and Robotics Research 3(2):229
Nearchou AC (1998) Solving the inverse kinematics problem of redundant robots operating in complex environments via a modified genetic algorithm. Mech Mach Theory 33(3):273–292
Nedungadi A (1993) A fuzzy logic-based robot controller. Journal of Intelligent & Fuzzy Systems 1(3):243–251
Nenchev DN (1992) Restricted jacobian matrices of redundant manipulators in constrained motion tasks. The International Journal of Robotics Research 11(6):584–597
Ngo XK, Ngo MD (2020) A review of artificial intelligence algorithms used for robotic manipulator. Int J Res Appl Sci Eng Technol 8(IX):410–416
Nicosia S, Tomei P, Tornambe A (1986) Discrete dynamics of robot arms. IFAC Proceedings Volumes 19(14):89–94
Nielsen CL, Kavraki LE (2000) A two level fuzzy prm for manipulation planning. In: Proceedings of The 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2000) (Cat. No. 00CH37113), vol. 3, pp. 1716–1721. IEEE
Nuredini R, Fetaji B, Chorbev I (2018) Bio-inspired obstacle avoidance: From animals to intelligent agents. J Comput 13(2):146–153
Oktarina Y, Septiarini F, Dewi T, Risma P, Nawawi M (2019) Fuzzy-PID controller design of 4-DOF industrial arm robot manipulator. Computer Engineering and Applications Journal 8(2):123–136
Olesiak K (2018) Analysis of the energy consumption by an industrial robot for the angular movement of individual axes. Przeglad Elektrotechniczny 94:218–221
Olesiak K (2019) A fuzzy decision model in designing an industrial robot’s trajectory. Przeglad Elektrotechniczny 95
Overmars MH, Svestka P (1994) A Probablisitic Learning Approach to Motion Planning vol. 1994. K. Goldberg et al. (Eds.), AK Peters, The Netherlands
Ó’Dúnlaing C, Yap CK (1985) A “retraction” method for planning the motion of a disc. Journal of Algorithms 6(1):104–111
ó’Dúnlaing C, Sharir M, Yap CK (1983) Retraction: A new approach to motion-planning. In: Proceedings of The 15th Annual ACM Symposium on Theory of Computing, pp. 207–220
Padula F, Perdereau V (2011) A new pseudoinverse for manipulator collision avoidance. IFAC Proc Vol 44(1):14687–14692
Pan W, Lyu M, Hwang K-S, Ju M-Y, Shi H (2018) A neuro-fuzzy visual servoing controller for an articulated manipulator. IEEE Access 6:3346–3357
Pandey A, Parhi DR (2016) Autonomous mobile robot navigation in cluttered environment using hybrid takagi-sugeno fuzzy model and simulated annealing algorithm controller. World Journal of Engineering 13(05):431–440
Parisi DR, Gilman M, Moldovan H (2009) A modification of the social force model can reproduce experimental data of pedestrian flows in normal conditions. Phys A 388(17):3600–3608
Parker JK, Khoogar AR, Goldberg DE (1989) Inverse kinematics of redundant robots using genetic algorithms. In: 1989 IEEE International Conference on Robotics and Automation, pp. 271–276. IEEE Computer Society
Pashkevich A, Kazheunikau M (2005) Neural network approach to trajectory synthesis for robotic manipulators. J Intell Manuf 16(2):173–187
Passino KM, Yurkovich S, Reinfrank M (1998) Fuzzy Control vol. 42, pp. 15–21. Addison-wesley, Menlo Park, CA
Payeur P, Le-Huy H, Gosselin C (1994) Robot path planning using neural networks and fuzzy logic. In: Proceedings of The 20th Annual Conference of IEEE Industrial Electronics (IECON’94), vol. 2, pp. 800–805. IEEE
Pham DT, Haj Darwish A, Eldukhri EE (2009) Optimisation of a fuzzy logic controller using the bees algorithm. International Journal of Computer Aided Engineering and Technology 1(2):250–264
Pham DT, Ghanbarzadeh A, Koç E, Otri S, Rahim S, Zaidi M (2006) The bees algorithm - A novel tool for complex optimisation problems. In: Intelligent Production Machines and Systems, pp. 454–459. Elsevier, UK
Ponce R, Merchán EA, Héctor L (2013) Path planning for robotic manipulators using a new hybrid neuro-fuzzy technique. In: The 2013 World Congress on Advances in Nano, Biomechanics, Robotics, and Energy Research (ANBRE13), pp. 203–215
Poole HH (1989) Types of robots. In: Fundamentals of Robotics Engineering, pp 27–51. Van Nostrand Reinhold, Springer, New York
Pott A, Bruckmann T (2013) Cable-driven parallel robots: theory and application. Springer, Switzerland, p 465
Pratihar DK, Hui NB (2007) Evolution of fuzzy controllers and applications. In: Jain LC, Palade V, Srinivasan D (eds) Advances in Evolutionary Computing for System Design, vol 66. Studies in Computational Intelligence. Springer, Berlin, Heidelberg, pp 47–69
Precup R-E, David R-C, Petriu EM, Preitl S, Radac M-B (2011) Fuzzy control systems with reduced parametric sensitivity based on simulated annealing. IEEE Trans Ind Electron 59(8):3049–3061
Precup R-E, Hellendoorn H (2011) A survey on industrial applications of fuzzy control. Comput Ind 62(3):213–226
Puls S, Betz P, Wyden M, Wörn H (2012) Path planning for industrial robots in human-robot interaction. In: IEEE/RSJ IROS Workshop on Robot Motion Planning: Online, Reactive, and in Real-Time. IEEE
Qixin C, Yanwen H, Jingliang Z (2006) An evolutionary artificial potential field algorithm for dynamic path planning of mobile robot. In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 3331–3336. IEEE
Qizhi Z, Yali Z, Xinsheng G (2010) A PSO algorithm for biped gait planning using spline approximation. In: The IEEE Conference on Robotics, Automation and Mechatronics, pp 563–568. IEEE
Raafat S, Raheem F (2017) Intelligent and robust path planning and control of robotic systems. In: Mathematical Advances Towards Sustainable Environmental Systems, pp. 291–317. Springer, Switzerland
Raheem FA, Gorial II (2013) Comparative study between joint space and cartesian space path planning for two-link robot manipulator using fuzzy logic. Iraqi J Comput Commun Control Syst Eng 13(2):1–10
Raheem FA, Ridha MMN, Gorial MII (2014) Two-link robot manipulator obstacle avoidance using fuzzy logic: Simulation and experimental work. In: The Second Engineering Conference of Control, Computers and Mechatronics Engineering (ECCCM2), pp 203–207
Rahimi H, Nazemizadeh M (2014) Dynamic analysis and intelligent control techniques for flexible manipulators: a review. Adv Robot 28(2):63–76
Rantanen MT, Juhola M (2014) Using probabilistic roadmaps in changing environments. Comput Anim Virtual Worlds 25(1):17–31
Rashedi E, Nezamabadi-Pour H, Saryazdi S (2009) GSA: A gravitational search algorithm. Inf Sci 179(13):2232–2248
Reif JH (1979) Complexity of the mover’s problem and generalizations. In: 20th Annual Symposium on Foundations of Computer Science (sfcs 1979), pp. 421–427. IEEE Computer Society
Reinoso O, Paya L (2020) Special issue on mobile robots navigation. Appl Sci 10(4):1–5
Rekha HS, Nayak J, Naik B, Pelusi D (2019) Soft computing in robotics: A decade perspective. In: International Conference on Application of Robotics in Industry Using Advanced Mechanisms, pp 59–78. Springer
Ren T, Dong Y, Wu D, Chen K (2018) Collision detection and identification for robot manipulators based on extended state observer. Control Eng Pract 79:144–153
Reynolds CW (1994) Evolution of obstacle avoidance behavior: Using noise to promote robust solutions. Adv Genet Program 1:221–241
Rezk NM, Alkabani Y, Bedor H, Hammad S (2014) A distributed genetic algorithm for swarm robots obstacle avoidance. In: 2014 9th International Conference on Computer Engineering & Systems (ICCES), pp 170–174. IEEE
Rivero D, Dorado J, Rabuñal J, Pazos A (2010) Generation and simplification of artificial neural networks by means of genetic programming. Neurocomputing 73(16–18):3200–3223
Ro PI, Lee BR (1995) Neural-fuzzy hybrid system for mobile robot path-planning in a partially known environment. In: Proceedings of 1995 American Control Conference-ACC’95, vol 1, pp 673–677. IEEE
Robla S, Llata JR, Torre-Ferrero C, Sarabia EG, Becerra V, Perez-Oria J (2014) Visual sensor fusion for active security in robotic industrial environments. EURASIP J Adv Signal Process 2014(1):1–20
Roy S, Pratihar D (2003) A genetic-fuzzy approach for optimal path-planning of a robotic manipulator among static obstacles. J Inst Eng 84:15–22
Sahu PK, Balamurali G, Mahanta GB, Biswal BB (2019) A heuristic comparison of optimization algorithms for the trajectory planning of a 4-axis SCARA robot manipulator. Computational Intelligence in Data Mining, vol 711. Advances in Intelligent Systems and Computing. Springer, Singapore, pp 569–582
Sakellariou J, Fassois S (2008) Vibration based fault detection and identification in an aircraft skeleton structure via a stochastic functional model based method. Mech Syst Signal Process 22(3):557–573
Schwartz JT, Sharir M, Hopcroft JE (1987) Planning, geometry, and complexity of robot motion, vol 4. Ablex Publishing Corporation, New Jersey
Seidi M, Markazi AHD (2008) Model-based fuzzy control of flexible joint manipulator: a LMI approach. In: 2008 5th International Symposium on Mechatronics and Its Applications, pp. 1–5. IEEE
Selekwa MF, Dunlap DD, Shi D, Collins EG Jr (2008) Robot navigation in very cluttered environments by preference-based fuzzy behaviors. Robot Auton Syst 56(3):231–246
Seraji H, Steele R, Iviev R (1996) Sensor-based collision avoidance: theory and experiments. J Robot Syst 13(9):571–586
Sezgin U, Seneviratne L, Earles S (1997) Redundancy utilization for obstacle avoidance of planar robot manipulators. Proc Inst Mech Eng C 211(6):463–475
Shabeeb AH (2013) Path planning of robot manipulator using bezier technique. PhD thesis, M.Sc. thesis, Department of Production Engineering and Metallurgy, University of Technology, Iraq
Shakiba R, Najafipour M, Salehi ME (2013) An improved PSO-based path planning algorithm for humanoid soccer playing robots. In: 2013 3rd Joint Conference of AI & Robotics and 5th RoboCup Iran Open International Symposium, pp. 1–6. IEEE
Shaogang Z, Ming L (2010) Path planning of inspection robot based on ant colony optimization algorithm. In: 2010 International Conference on Electrical and Control Engineering, pp. 1474–1477. IEEE
Sharkawy A-N, Koustoumpardis PN, Aspragathos NA (2018) Manipulator collision detection and collided link identification based on neural networks. In: International Conference on Robotics in Alpe-Adria Danube Region, pp. 3–12. Springer
Sheikhlar A, Fakharian A, Beik-Mohammadi H, Adhami-Mirhosseini A (2016) Design and implementation of self-adaptive pd controller based on fuzzy logic algorithm for omni-directional fast robots in presence of model uncertainties. Int J Uncertain Fuzziness Knowledge-Based Syst 24(05):761–780
Shen L, Wen Y (2020) Investigation on the discretization of a repetitive path planning scheme for redundant robot manipulators. IEEE Access 8:23895–23903
Shi P, Cui Y (2010) Dynamic path planning for mobile robot based on genetic algorithm in unknown environment. In: 2010 Chinese Control and Decision Conference, pp. 4325–4329. IEEE
Shill PC, Pal KK, Amin MF, Murase K (2011) Genetic algorithm based fully automated and adaptive fuzzy logic controller. In: 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1572–1579. IEEE
Shill PC, Amin MF, Akhand M, Murase K (2012) Optimization of interval type-2 fuzzy logic controller using quantum genetic algorithms. In: 2012 IEEE International Conference on Fuzzy Systems, pp. 1–8. IEEE
Shiller Z, Dubowsky S (1991) On computing the global time-optimal motions of robotic manipulators in the presence of obstacles. IEEE Trans Robot Autom 7(6):785–797
Shin H, Chae J (2020) A performance review of collision-free path planning algorithms. Electronics 9(2):316
Shin K, McKay N (1986) Selection of near-minimum time geometric paths for robotic manipulators. IEEE Trans Autom Control 31(6):501–511
Siciliano B, Khatib O (2016) Springer handbook of robotics. Springer, Berlin, p 2227
Siciliano B, Sciavicco L, Villani L, Oriolo G (2010) Robotics: modelling, planning and control. Springer, Berlin
Siddique N, Adeli H (2015) Nature inspired computing: an overview and some future directions. Cogn Comput 7(6):706–714
Siegwart R, Nourbakhsh IR, Scaramuzza D (2011) Introduction to autonomous mobile robots. MIT Press, Cambridge, England
Silva JF, Pinto SF (2018) Linear and nonlinear control of switching power converters. In: Power Electronics Handbook (Fourth Edition), pp. 1141–1220. Elsevier, New York. Chap. 35
Silva AC, Silva J, dos Santos CP (2014) A modified LGMD-based neural network for automatic collision detection. In: Ferrier JL, Bernard A, Gusikhin O, Madani K (eds) Informatics in Control, Automation and Robotics, vol 283. Lecture Notes in Electrical Engineering. Springer, Switzerland, pp 217–233
Singh NH, Thongam K (2019) Mobile robot navigation using fuzzy-GA approaches along with three path concept. Iran J Sci Technol Trans Electr Eng 43(2):277–294
Singh M, Shukla M (2020) Intelligent and hybrid control techniques for robotic manipulator. In: International Conference on Intelligent Computing and Smart Communication 2019, pp. 1535–1545. Springer
Six D, Briot S, Chriette A, Martinet P (2017) The kinematics, dynamics and control of a flying parallel robot with three quadrotors. IEEE Robot Autom Lett 3(1):559–566
Son C (2002) Optimal control planning strategies with fuzzy entropy and sensor fusion for robotic part assembly tasks. Int J Mach Tools Manuf 42(12):1335–1344
Son C (2010) Comparison of optimal path planning algorithms for intelligent control of robotic part assembly task. Int J Uncertain Fuzziness Knowl-Based Syst 18(05):621–644
Son C (2013) Similarity measuring strategy of image patterns based on fuzzy entropy and energy variations in intelligent robot’s manipulative task. Appl Intell 38(2):131–145
Son C (2016) Intelligent rule-based sequence planning algorithm with fuzzy optimization for robot manipulation tasks in partially dynamic environments. Inf Sci 342:209–221
Son C (2019) Comparison of assembly-jam learning algorithms with fuzzy entropy measure for intelligent robot’s part micro-assembly. Int J Adv Manuf Technol 104(9):3473–3488
Son C (2011) Intelligent robotic path finding methodologies with fuzzy/crisp entropies and learning. Int J Robot Autom 26(3)
Song Z, Chen W, Zhao W, Wang W (2018) Fuzzy self-adjusting PID control strategy for 3-RRR parallel robots considering joint clearance. In: 2018 IEEE International Conference on Information and Automation (ICIA), pp. 470–474. IEEE
Sood M, Panchal VK (2020) Meta-heuristic techniques for path planning: recent trends and advancements. Int J Intell Syst Technol Appl 19(1):36–77
Spong MW (1995) The swing up control problem for the acrobot. IEEE Control Syst Mag 15(1):49–55
Stentz A (1995) The focussed d* algorithm for real-time replanning. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI), vol. 2, pp. 1652–1659
Stewart D (1965) A platform with six degrees of freedom. Proc Inst Mech Eng 180(1):371–386
Su L, Tan M (2005) A virtual centrifugal force based navigation algorithm for explorative robotic tasks in unknown environments. Robot Auton Syst 51(4):261–274
Su K-H, Lian F-L, Yang C-Y (2012) Navigation design with SVM path planning and fuzzy-based path tracking for wheeled agent. In: 2012 International Conference on Fuzzy Theory and Its Applications (iFUZZY2012), pp. 273–278. IEEE
Sugeno M (1985) An introductory survey of fuzzy control. Inf Sci 36(1–2):59–83
Sugeno M, Murakami K (1984) Fuzzy parking control of model car. In: The 23rd IEEE Conference on Decision and Control, pp. 902–903. IEEE
Sun YL, Er MJ (2004) Hybrid fuzzy control of robotics systems. IEEE Trans Fuzzy Syst 12(6):755–765
Sureshkumar W, Mahalingam K, Rama R (2017) Robot motion planning inside a grid using membrane computing. Int J Imaging Robot 17(1):14–26
Svestka P (1997) Robot motion planning using probabilistic roadmaps. PhD Thesis, Universiteit Utrecht
Swarup A, Gopal M (1989) Control strategies for robot manipulators: a review. IETE J Res 35(4):198–207
Syed UA, Kunwar F, Iqbal M (2014) Guided autowave pulse coupled neural network (gapcnn) based real time path planning and an obstacle avoidance scheme for mobile robots. Robot Auton Syst 62(4):474–486
Szabó D, Szádeczky-Kardoss EG (2019) Robotic manipulator path-planning: Cost-function approximation with fuzzy inference system. In: 2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR), pp. 259–264. IEEE
Taherifar A, Alasty A, Salarieh H, Boroushaki M (2013) Path planning for a hyper-redundant manipulator with lockable joints using PSO. In: 2013 The 1st RSI/ISM International Conference on Robotics and Mechatronics (ICRoM), pp. 224–229. IEEE
Tanaka K, Wang HO (2004) Fuzzy control systems design and analysis: a linear matrix inequality approach. John Wiley & Sons, New York
Tang SH, Khaksar W, Ismail N, Ariffin M (2012) A review on robot motion planning approaches. Pertanika J Sci Technol 20(1):15–29
Tavares P, Lima J, Costa P, Moreira AP (2016) Multiple manipulators path planning using double A*. Industrial Robot: An International Journal 43(6):657–664
Tavares P, Lima J, Costa P (2016) Double A* path planning for industrial manipulators. In: Robot 2015: The 2nd Iberian Robotics Conference, pp 119–130. Springer
Tian L, Collins C (2005) Adaptive neuro-fuzzy control of a flexible manipulator. Mechatronics 15(10):1305–1320
Timmis J, Andrews P, Owens N, Clark E (2008) An interdisciplinary perspective on artificial immune systems. Evol Intel 1(1):5–26
Tomizuka M, Horowitz R, Anwar G, Jia Y (1988) Implementation of adaptive techniques for motion control of robotic manipulators. J Dyn Syst Meas Contr 110(1):62–69
Trinh C, Zlatanov D, Zoppi M, Molfino R (2015) A geometrical approach to the inverse kinematics of 6r serial robots with offset wrists. In: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 57144, pp. 05–08016. American Society of Mechanical Engineers
Tsai C-H, Lee J-S, Chuang J-H (2001) Path planning of 3-d objects using a new workspace model. IEEE Trans Syst Man Cybern Part C31(3):405–410
Tzafestas SG (2013) Introduction to mobile robot control. Elsevier, Amsterdam
Van Pham H, Moore P (2018) Robot coverage path planning under uncertainty using knowledge inference and hedge algebras. Machines 6(4):46–65
Vadakkepat P, Tan KC, Ming-Liang W (2000) Evolutionary artificial potential fields and their application in real time robot path planning. In: Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No. 00TH8512), vol. 1, pp. 256–263. IEEE
Valavanis KP, Hebert T, Kolluru R, Tsourveloudis N (2000) Mobile robot navigation in 2D dynamic environments using an electrostatic potential field. IEEE Trans Syst Man Cybern A 30(2):187–196
Volpe R, Khosla P (1990) Manipulator control with superquadric artificial potential functions: theory and experiments. IEEE Trans Syst Man Cybern 20(6):1423–1436
Vu NT-T, Tran NP (2020) Path planning for excavator arm: Fuzzy logic control approach. J Robot
Wagner C, Hagras H (2007) Evolving type-2 fuzzy logic controllers for autonomous mobile robots. In: Analysis and Design of Intelligent Systems Using Soft Computing Techniques, pp. 16–25. Springer, Berlin
Wang X, Gao X-Z, Ovaska SJ (2009) Fusion of clonal selection algorithm and harmony search method in optimisation of fuzzy classification systems. International J Bio-Inspired Comput 1(1–2):80–88
Wang F, Liu Z, Zhang Y, Chen CP (2017) Adaptive fuzzy visual tracking control for manipulator with quantized saturation input. Nonlinear Dyn 89(2):1241–1258
Wang M, Su Z, Tu D, Lu X (2013) A hybrid algorithm based on artificial potential field and bug for path planning of mobile robot. In: Proceedings of 2013 2nd International Conference on Measurement, Information and Control, vol. 2, pp. 1393–1398. IEEE
Wang Z, Cai M-z, Wang T, Zhang B (2017) Research on de-icing robot and its motion characteristics overhead transmission line. In: MATEC Web of Conferences, vol. 100, p. 03015. EDP Sciences
Wei Y, Jian S, He S, Wang Z (2014) General approach for inverse kinematics of nr robots. Mech Mach Theory 75:97–106
Wei WCS (2011) Line-grasping control for the deicing robot on high voltage transmission line. J Mech Eng 9
Wen S, Hu X, Lv X, Wang Z, Peng Y (2019) Q-learning trajectory planning based on takagi-sugeno fuzzy parallel distributed compensation structure of humanoid manipulator. Int J Adv Rob Syst 16(1):1729881419830204
Wijayasekara D, Manic M (2014) Fuzzy logic based force-feedback for obstacle collision avoidance of robot manipulators. In: 2014 7th International Conference on Human System Interactions (HSI), pp. 76–81. IEEE
Wijayasekara D, Manic M (2014) Dynamic fuzzy force field based force-feedback for collision avoidance in robot manipulators. In: IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society, pp. 3997–4003. IEEE
Wu X, Li Q, Heng K (2005) Development of a general manipulator path planner using fuzzy reasoning. Ind Robot 32(3):248–258
Xiao L, Zhang Y (2013) A new performance index for the repetitive motion of mobile manipulators. IEEE Trans Cybernetics 44(2):280–292
Xie L, Xue S, Zhang J, Zhang M, Tian W, Haugen S (2019) A path planning approach based on multi-direction A* algorithm for ships navigating within wind farm waters. Ocean Eng 184:311–322
Xin D, Hua-hua C, Wei-kang G (2005) Neural network and genetic algorithm based global path planning in a static environment. J Zhejiang Univ Sci A 6(6):549–554
Xu X, Hu Y, Zhai J, Li L, Guo P (2018) A novel non-collision trajectory planning algorithm based on velocity potential field for robotic manipulator. Int J Adv Rob Syst 15(4):1729881418787075
Xu B, Pandian SR, Sakagami N, Petry F (2012) Neuro-fuzzy control of underwater vehicle-manipulator systems. J Franklin Inst 349(3):1125–1138
Xu B, Stilwell DJ, Kurdila AJ (2010) A receding horizon controller for motion planning in the presence of moving obstacles. In: 2010 IEEE International Conference on Robotics and Automation, pp. 974–980. IEEE
Xu J, Hou Z, Liu Z, Qiao H (2019) Compare contact model-based control and contact model-free learning: A survey of robotic peg-in-hole assembly strategies. arXiv preprint arXiv:1904.05240
Xu W, Tso S, Lu Z (1998) A virtual target approach for resolving the limit cycle problem in navigation of a fuzzy behaviour-based mobile robot. In: Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No. 98CH36190), vol. 1, pp. 44–49. IEEE
Yahya S, Moghavvemi M, Mohamed HA (2011) Redundant manipulators kinematics inversion. Sci Res Essays 6(26):5462–5470
Yang X, Moallem M, Patel RV (2005) A layered goal-oriented fuzzy motion planning strategy for mobile robot navigation. IEEE Trans Syst Man Cybern Part C 35(6):1214–1224
Yang M, Li C-z (2011) Path planing and tracking for multi-robot system based on improved PSO algorithm. In: 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), pp. 1667–1670. IEEE
Yang X-S, Deb S (2009) Cuckoo search via lévy flights. In: The World Congress on Nature & Biologically Inspired Computing (NaBIC), India, pp. 210–214. IEEE
Yang SX, Meng M (2001) Neural network approaches to dynamic collision-free trajectory generation. IEEE Trans Syst Man Cybern Part C 31(3):302–318
Yanik P, Ford G, McDaniel W (2010) An introduction and literature review of fuzzy logic applications for robot motion planning. In: Proceedings of American Society for Engineering Education Southeast Section Conference, pp. 1–10
Ye L, Duan J, Yang Z, Zou X, Chen M, Zhang S (2021) Collision-free motion planning for the litchi-picking robot. Comput Electron Agric 185:106151
Yeasmin S, Shill PC (2017) GA-based adaptive fuzzy logic controller for a robotic arm in the presence of moving obstacle. In: The 3rd International Conference on Electrical Information and Communication Technology (EICT), pp. 1–6. IEEE
Yen J, Langari R (1999) Fuzzy logic: intelligence, control, and information, vol 1. Prentice Hall, New Jersey
Yoon HU, Lee D-W (2018) Subplanner algorithm to escape from local minima for artificial potential function based robotic path planning. Int J Fuzzy Logic Intell Syst 18(4):263–275
Yu J, Müller P (1996) An on-line cartesian space obstacle avoidance scheme for robot arms. Math Comput Simul 41(5–6):627–637
Yu G-R, Huang Y-J, Huang L-W (2010) Ts fuzzy control for magnetic levitation systems using quantum particle swarm optimization. In: Proceedings of SICE Annual Conference 2010, pp. 48–53. IEEE
Yuce B (2012) Novel computational technique for determining depth using the bees algorithm and blind image deconvolution. PhD thesis, Manufacturing Engineering Centre, School of Engineering, Cardiff University, United Kingdom
Yun SC, Ganapathy V, Chong LO (2010) Improved genetic algorithms based optimum path planning for mobile robot. In: 2010 11th International Conference on Control Automation Robotics & Vision, pp. 1565–1570. IEEE
Yüksel T, Sezgin A (2010) Two fault detection and isolation schemes for robot manipulators using soft computing techniques. Appl Soft Comput 10(1):125–134
Zadeh LA (1965) Information and control. Fuzzy sets 8(3):338–353
Zadeh LA (1968) Fuzzy algorithms. Inf Control 1(12):94–102
Zadeh LA (1973) Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans Syst Man Cybern 1:28–44
Zadeh LA (1984) Making computers think like people [fuzzy set theory]. IEEE Spectr 21(8):26–32
Zadeh LA, Klir GJ, Yuan B (1996) Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers, vol 6. World Scientific, Singapore
Zavlangas PG, Tzafestas SG (2000) Industrial robot navigation and obstacle avoidance employing fuzzy logic. J Intell Robot Syst 27(1):85–97
Zerrouki N, Goléa N, Benoudjit N (2017) Particle swarm optimization of non uniform rational b-splines for robot manipulators path planning. Periodica Polytechnica Electrical Engineering and Computer Science 61(4):337–349
Zhang Y, Jin L (2017) Robot manipulator redundancy resolution. ASME Press and John Wiley & Sons, UK
Zhang Z, Yan Z (2019) An adaptive fuzzy recurrent neural network for solving the nonrepetitive motion problem of redundant robot manipulators. IEEE Trans Fuzzy Syst 28(4):684–691
Zhang X, Yu Q, Yu H (2018) Physics inspired methods for crowd video surveillance and analysis: a survey. IEEE Access 6:66816–66830
Zhang Y, Wang J (2004) Obstacle avoidance for kinematically redundant manipulators using a dual neural network. IEEE Trans Syst Man Cybern Part C 34(1):752–759
Zhang Y-n (2003) Analysis and design of recurrent neural networks and their applications to control and robotic systems. PhD thesis, The Chinese University of Hong Kong
Zhang T, Liang X, Yu Y, Zhang B (2019) A method for obtaining optimal path in angle and avoiding collision for robotic belt grinding. Mathematical Problems in Engineering 2019
Zimmermann H-J (2011) Fuzzy Set Theory and Its Applications, 4th edn. Springer, New York
Zoumponos G, Aspragathos N (2005) A fuzzy robot controller for the placement of fabrics on a work table. IFAC Proceedings Volumes 38(1):176–181
Zoumponos G, Aspragathos N (2008) Fuzzy logic path planning for the robotic placement of fabrics on a work table. Robotics and Computer-Integrated Manufacturing 24(2):174–186
Zoumponos GT, Aspragathos NA (2010) A fuzzy strategy for the robotic folding of fabrics with machine vision feedback. Industrial Robot: An International Journal 37(3):302–308
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Hentout, A., Maoudj, A. & Aouache, M. A review of the literature on fuzzy-logic approaches for collision-free path planning of manipulator robots. Artif Intell Rev 56, 3369–3444 (2023). https://doi.org/10.1007/s10462-022-10257-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10462-022-10257-7