Abstract
This chapter presents applications of the collision detection schemes from Chap. 5, and a high level research outlook for the methods developed in this theseis. Collision detection applications are presented in Sect. 6.1, namely collision reflexes and collision location determination in Sect. 6.1.1, and tactile mapping as part of an autonomy stack of a flying robot in Sect. 6.1.3. In Sect. 6.2, the goals and research question posed in this book are extrapolated towards the goal of interaction, disturbance and fault-aware flying robot swarms. It is argued that robust operation of interacting flying robots requires systematic handling of interactions and external inputs from individual robot to swarm level. For this, a scalable methodology for interaction, disturbance and fault handling is introduced, resulting in an awareness pipeline scheme that can be applied to robot swarms. Another algorithmic key element for unification is the extension of well established methods from operational space and multipriority robot control to this system class, potentially leading to novel controls and skills of flying robot swarms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
J.A. Acosta, C.R. de Cos, A. Ollero, A robust decentralised strategy for multi-task control of unmanned aerial systems. application on underactuated aerial manipulator, in 2016 International Conference on Unmanned Aircraft Systems (ICUAS) (2016), pp. 1075–1084
K. Alexis, G. Darivianakis, M. Burri, R. Siegwart, Aerial robotic contact-based inspection: planning and control. Autonom. Robots 40(4), 631–655 (2016). ISSN: 1573-7527
G. Antonelli, F. Arrichiello, S. Chiaverini, The null-space-based behavioural control for autonomous robotic systems. Intell. Ser. Robot. 1(1), 27–39 (2008). ISSN: 1861-2784
F. Augugliaro, R. D’Andrea, Admittance control for physical human- quadrocopter interaction, in 2013 European Control Conference (ECC) (Zürich, Switzerland, 2013), pp. 1805–1810
K. Baizid, G. Giglio, F. Pierri, M.A. Trujillo, G. Antonelli, F. Caccavale, A. Viguria, S. Chiaverini, A. Ollero, Behavioral control of unmanned aerial vehicle manipulator systems. Auton. Robots 41(5), 1203–1220 (2017). ISSN: 1573-7527
S. Bellens, J. De Schutter, H. Bruyninckx, A hybrid pose/wrench control framework for quadrotor helicopters. ICRA 2012, 2269–2274 (2012). https://doi.org/10.1109/ICRA.2012.6224682
M. Bernard, K. Kondak, Generic slung load transportation system using small size helicopters, in ICRA’09. IEEE International Conference on Robotics and Automation (IEEE, 2009), pp. 3258–3264
A. De Luca, A. Albu-Schäffer, S. Haddadin, G. Hirzinger, Collision detection and safe reaction with the dlr-iii lightweight manipulator arm. IROS 2006, 1623–1630 (2006). https://doi.org/10.1109/IROS.2006.282053
S. Ding, Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools (Springer Science & Business Media, 2008)
N. Diolaiti, C. Melchiorri, S. Stramigioli, Contact impedance estimation for robotic systems. IEEE Trans. Robot. 21(5), 925–935 (2005). ISSN: 1552-3098. https://doi.org/10.1109/TRO.2005.852261
A. Franchi, C. Secchi, M. Ryll, H. Blthoff, P.R. Giordano, Shared control: balancing autonomy and human assistance with a group of quadrotor UAVs. IEEE Robot. Autom. Mag. 19(3) (2012)
M. Freeman, Drone that is IMPOSSIBLE TO CRASH!!! (2019). https://www.youtube.com/watch?v=GHZmXI4Htks
G. Gioioso, A. Franchi, G. Salvietti, S. Scheggi, D. Prattichizzo, The flying hand: a formation of uavs for cooperative aerial tele-manipulation, in 2014 IEEE International Conference on Robotics and Automation (ICRA) (2014), pp. 4335–4341
F. Gustafsson, F. Gustafsson, Adaptive Filtering and Change Detection, vol. 1 (Wiley New York, 2000)
S. Haddadin, A.D. Luca, A. Albu-Schäffer, Robot collisions: a survey on detection, isolation, and identification. IEEE Trans. Robot. PP(99), 1–21 (2017). ISSN: 1552-3098, https://doi.org/10.1109/TRO.2017.2723903
O. Khatib, A unified approach for motion and force control of robot manipulators: the operational space formulation. IEEE J. Robot. Autom. 3(1), 43–53 (1987). ISSN: 0882-4967
S. Li, J. Yang, W.-H. Chen, X. Chen, Disturbance Observer-Based Control: Methods and Applications, 1st edn. (CRC Press, Inc., Boca Raton, FL, USA, 2014), ISBN: 1466515791, 9781466515796
D. Mellinger, M. Shomin, N. Michael, V. Kumar, Cooperative grasping and transport using multiple quadrotors, in Distributed Autonomous Robotic Systems (Springer, 2013), pp. 545–558
A.Y. Mersha, S. Stramigioli, R. Carloni, Variable impedance control for aerial interaction, in IROS2014 (IEEE, 2014), pp. 3435–3440
M.W. Mueller, R. D’Andrea, Stability and control of a quadrocopter despite the complete loss of one, two, or three propellers, in 2014 IEEE International Conference on Robotics and Automation (ICRA) (IEEE, 2014), pp. 45–52
R. Olfati-Saber, Flocking for multi-agent dynamic systems: algorithms and theory. IEEE Trans. Autom. Control 51(3), 401–420 (2006). ISSN: 0018-9286
R. Olfati-Saber, J.A. Fax, R.M. Murray, Consensus and cooperation in networked multi-agent systems. Proc. IEEE 95(1), 215–233 (2007). ISSN: 0018-9219. https://doi.org/10.1109/JPROC.2006.887293
C. Papachristos, K. Alexis, A. Tzes, Efficient force exertion for aerial robotic manipulation: Exploiting the thrust-vectoring authority of a tritiltrotor UAV, in 2014 IEEE International Conference on Robotics and Automation (ICRA) (2014), pp. 4500–4505
S. Rajappa, H. Blthoff, P. Stegagno, Design and implementation of a novel architecture for physical human-UAV interaction. Int. J. Robot. Res. 0 278 364 917 708 038 (2017)
S. Rajappa, M. Ryll, H.H. Blthoff, A. Franchi, Modeling, control and design optimization for a fully-actuated hexarotor aerial vehicle with tilted propellers, in 2015 IEEE International Conference on Robotics and Automation (ICRA) (2015), pp. 4006–4013
F. Ruggiero, J. Cacace, H. Sadeghian, V. Lippiello, Impedance control of VToL UAVs with a momentum-based external generalized forces estimator, in ICRA 2014 (Hong Kong, China, 2014), pp. 2093–2099
M. Ryll, D. Bicego, A. Franchi, modeling and control of FAST-hex: a fully-actuated by synchronized-tilting hexarotor, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2016 (Daejeon, South Korea, 2016)
M. Ryll, G. Muscio, F. Pierri, E. Cataldi, C.G. Antonelli, A.F. Franchi, 6d physical interaction with a fully actuated aerial robot, in 2017 IEEE International Conference on Robotics and Automation (ICRA) (2017)
K. Schmid, P. Lutz, T. Tomić, E. Mair, H. Hirschmller, Autonomous vision-based micro air vehicle for indoor and outdoor navigation. J. Field Robot. 31(4), 537–570 (2014). ISSN: 1556-4967, https://doi.org/10.1002/rob.21506
B. Siciliano, O. Khatib, Springer Handbook of Robotics (Springer, 2016)
S. Simani, C. Fantuzzi, R.J. Patton, Model-Based Fault Diagnosis in Dynamic Systems Using Identification Techniques (Springer Science & Business Media, 2013)
T. Tomc, Simultaneous estimation of aerodynamic and contact forces in flying robots: Applications to metric wind estimation and collision detection, in ICRA 2015 (Seattle, WA, USA, 2015), pp. 5290–5296. https://doi.org/10.1109/ICRA.2015.7139937
T. Tomić, Evaluation of acceleration-based disturbance observation for multicopter control, in 2014 European Control Conference (ECC) (2014), pp. 2937–2944. https://doi.org/10.1109/ECC.2014.6862237
T. Tomić, S. Haddadin, A unified framework for external wrench estimation, interaction control and collision reflexes for flying robots, in IROS 2014 (IL, USA, Chicago, 2014)
T. Tomić, C. Ott, S. Haddadin, External wrench estimation, collision detection, and reflex reaction for flying robots. IEEE Trans. Robot. 33(6), 1467–1482 (2017). ISSN: 1552-3098, https://doi.org/10.1109/TRO.2017.2750703
T. Tomić, K. Schmid, P. Lutz, A. Mathers, S. Haddadin, The flying anemometer: unified estimation of wind velocity from aerodynamic power and wrenches, in IROS 2016, IEEE, Daejeon, Korea (2016), pp. 1637–1644
T. Tomić, K. Schmid, P. Lutz, A. Mathers, S. Haddadin, Simultaneous contact and aerodynamic force estimation (s-CAFE) for aerial robots. Int. J. Robot. Res. (IJRR) 39(6), 688–728 (2020). https://doi.org/10.1177/0278364920904788
J. Ware, N. Roy, An analysis of wind field estimation and exploitation for quadrotor flight in the urban canopy layer, in ICRA (IEEE, 2016), pp. 1507–1514
S.L. Waslander, C. Wang, Wind disturbance estimation and rejection for quadrotor position control, in AIAA Infotech@Aerospace Conference (Seattle, WA, USA, 2009)
J.W. Yao, V.R. Desaraju, N. Michael, Experience-based models of surface proximal aerial robot flight performance in wind, in International Symposium on Experimental Robotics (Springer, 2016), pp. 563–573
M. Zhao, K. Kawasaki, X. Chen, Y. Kakiuchi, K. Okada, M. Inaba, Transformable multirotor with two-dimensional multilinks: modeling, control, and whole-body aerial manipulation, in 2016 International Symposium on Experimental Robotics (Springer International Publishing, Cham, 2017), pp. 515–524. ISBN: 978-3-319-50115-4
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2023 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Tomić, T. (2023). Applications and Outlook. In: Model-Based Control of Flying Robots for Robust Interaction Under Wind Influence. Springer Tracts in Advanced Robotics, vol 151. Springer, Cham. https://doi.org/10.1007/978-3-031-15393-8_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-15393-8_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-15392-1
Online ISBN: 978-3-031-15393-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)