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Climbing control of autonomous mobile robot with estimation of wheel slip and wheel-ground contact angle

Abstract

The objective of this work is to control a delivery robot equipped with a passive bogie that can successfully climb up steps of various sizes and move on uneven terrain in outdoor environments. The kinematic model of a six-wheel mobile robot is described in detail. Jacobian matrices and inverse kinematics are obtained to get the velocity of each wheel based on the desired velocity of the robot center of mass in conjunction with the terrain information obtained by the onboard sensors according to the contact angle estimation between the wheel and ground. A slip control is implemented based on slip ratio to adjust the wheel velocity when the slip is detected. Simulation and experimental results verify the effectiveness of the approach that enables the robot autonomously climbing up on different steps and uneven terrain.

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References

  1. M. B. Alatise and G. P. Hancke, A review on challenges of autonomous mobile robot and sensor fusion methods, IEEE Access, 8 (2020) 39830–39846.

    Article  Google Scholar 

  2. F. Rubio, F. Valero and C. Llopis-Albert, A review of mobile robots: concepts, methods, theoretical framework, and applications, International Journal of Advanced Robotic Systems, 16(2) (2019) 1–22.

    Article  Google Scholar 

  3. Pandey, Mobile robot navigation and obstacle avoidance techniques: a review, International Robotics Automation Journal, 2(3) (2017) 96–105.

    Article  Google Scholar 

  4. H. J. Kim and D. Lee, Single 2D lidar based follow-me of mobile robot on hilly terrains, Journal of Mechanical Science and Technology, 34(9) (2020) 3845–3854.

    Article  Google Scholar 

  5. O. Toupet, J. Biesiadecki, A. Rankin, A. Steffy, G. Meirion-Griffith, D. Levine, M. Schadegg and M. Maimone, Terrain-adaptive wheel speed control on the Curiosity Mars rover: Algorithm and flight results, Journal of Field Robotics, 37(5) (2020) 699–728.

    Article  Google Scholar 

  6. R. A. Lindemann and C. J. Voorhees, Mars exploration rover mobility assembly design, test and performance, IEEE International Conference on Systems, Man and Cybernetics, 1 (2005) 450–455.

    Google Scholar 

  7. J. P. Grotzinger, J. Crisp, A. R. Vasavada, R. C. Anderson, C. J. Baker, R. Barry, D. F. Blake, P. Conrad, K. S. Edgett, B. Ferdowski, R. Gellert, J. B. Gilbert, M. Golombek, J. Gómez-Elvira, D. M. Hassler, L. Jandura, M. Litvak, P. Mahaffy, J. Maki, M. Meyer, M. C. Malin, I. Mitrofanov, J. J. Simmonds, D. Vaniman, R. V. Welch and R. C. Wiens, Mars science laboratory mission and science investigation, Space Science Reviews, 170 (2012) 5–56.

    Article  Google Scholar 

  8. B. Hichri, J.-C. Fauroux, L. Adouane, I. Doroftei and Y. Mezouar, Design of cooperative mobile robots for co-manipulation and transportation tasks, Robotics and Computer Integrated Manufacturing, 57 (2019) 412–421.

    Article  Google Scholar 

  9. E. Tuci, M. H. M. Alkilabi and O. Akanyeti, Cooperative object transport in multi-robot systems a review of the state-of-the-art, Frontiers in Robotics and AI, 5 (2018).

  10. H. S. Hong, T. W. Seo, D. Kim, S. Kim and J. Kim, Optimal design of hand-carrying rocker-bogie mechanism for stair climbing, Journal of Mechanical Science and Technology, 27(1) (2013) 125–132.

    Article  Google Scholar 

  11. B. Choi, G. Park and Y. Lee, Practical control of a rescue robot while maneuvering on uneven terrain, Journal of Mechanical Science and Technology, 32(5) (2018) 2021–2028.

    Article  Google Scholar 

  12. A. Jacoff, B. Weiss and E. Messina, Evolution of a performance metric for urban search and rescue robots, Proceedings of the 2003 Performance Metrics for Intelligent Systems (2003).

  13. A. G. Goldhoorn, R. Alquézar and A. Sanfeliu, Searching and tracking people with cooperative mobile robots, Autonomous Robots, 42(4) (2018) 739–759.

    Article  Google Scholar 

  14. K. Nagatani, A. Yamasaki, K. Yoshida and T. Adachi, Development and control method of six-wheel robot with rocker structure, IEEE International Workshop on Safety, Security and Rescue Robotics (1) (2007) 2–7.

  15. G. Fragapane, R. de Koster, F. Sgarbossa and J. O. Strandhagen, Planning and control of autonomous mobile robots for intralogistics: literature review and research agenda, European Journal of Operational Research, 294(2) (2021) 405–426.

    MathSciNet  Article  Google Scholar 

  16. J. Kim and D. Lee, Mobile robot with passively articulated driving tracks for high terrain ability and maneuverability on unstructured rough terrain: design, analysis, and performance evaluation, Journal of Mechanical Science and Technology, 32(11) (2018) 5389–5400.

    Article  Google Scholar 

  17. C. Wang, L. Meng, S. She, I. M. Mitchell, T. Li, F. Tung, W. Wan, M. Q. Meng and C. W. de Silva, Autonomous mobile robot navigation in uneven and unstructured indoor environments, arXiv (2017) 109–116.

  18. S. Jung, D. Choi, H. S. Kim and J. Kim, Trajectory generation algorithm for smooth movement of a hybrid-type robot Rocker-Pillar, Journal of Mechanical Science and Technology, 30(11) (2016) 5217–5224.

    Article  Google Scholar 

  19. S. S. Samsani and M. S. Muhammad, Socially compliant robot navigation in crowded environment by human behavior resemblance using deep reinforcement learning, IEEE Robotics and Automation Letters, 6(3) (2021) 5223–5230.

    Article  Google Scholar 

  20. A. K. Thueer and R. Siegwart, Comprehensive locomotion performance evaluation of all-terrain robots, IEEE International Conference on Intelligent Robots and Systems (2006) 4260–4265.

  21. D. Choi, J. Oh and J. Kim, Analysis method of climbing stairs with the rocker-bogie mechanism, Journal of Mechanical Science and Technology, 27(9) (2013) 2783–2788.

    Article  Google Scholar 

  22. S. Parakh, P. Wahi and A. Dutta, Velocity kinematics-based control of rocker-bogie type planetary rover, TENCON 2010–2010 IEEE Region10 Conference (2010) 939–944.

  23. D. Kim, H. Hong, H. S. Kim and J. Kim, Optimal design and kinetic analysis of a stair-climbing mobile robot with rocker-bogie mechanism, Mechanism and Machine Theory, 50 (2012) 90–108.

    Article  Google Scholar 

  24. H. Hacot, Analysis and traction control of a rocker-bogie planetary rover, Ph.D. dissertation, Massachusetts Institute of Technology (1998).

  25. P. F. Muir and C. P. Neuman, Kinematic modeling of wheeled mobile robots, Journal of Robotic Systems, 4(2) (1987) 281–340.

    Article  Google Scholar 

  26. H. Hong, D. Kim, J. Kim, J. Oh and H. S. Kim, A locomotive strategy for a stair-climbing mobile platform based on a new contact angle estimation, 2013 IEEE International Conference on Robotics and Automation (2013) 3819–3824.

  27. K. Iagnemma and S. Dubowsky, Traction control of wheeled robotic vehicles in rough terrain with application to planetary rovers, International Journal of Robotics Research, 23(10–11) (2004) 1029–1040.

    Article  Google Scholar 

  28. H. Cevallos, G. Intriago and D. Plaza, Performance of the estimators weighted least square, extended kalman filter, and the particle filter in the dynamic estimation of state variables of electrical power systems, IEEE International Conference on Automation: Towards an Industry 4.0, 1(3) (2019) 1–6.

    Google Scholar 

  29. S. Sreenivasan and B. Wilcox, Stability and traction control of an actively actuated micro-rover, Journal of Robotic Systems, 11(6) (1994) 487–502.

    Article  Google Scholar 

  30. S. Ebrahimi and A. Mardani, A new contact angle detection method for dynamics estimation of a UGV subject to slipping in Rough-Terrain, Journal of Intelligent and Robotic Systems: Theory and Applications, 95(3–4) (2019) 999–1019.

    Article  Google Scholar 

  31. X. L. Xu, H. Fu, B. B. Putra and L. He, Visual contact angle estimation and traction control for mobile robot in rough-terrain, Journal of Intelligent and Robotic Systems: Theory and Applications, 74(3–4) (2014) 985–997.

    Article  Google Scholar 

  32. H. Hong, D. Kim, H. S. Kim, S. Lee and J. Kim, Contact angle estimation and composite locomotive strategy of a stair-climbing mobile platform, Robotics and Computer-Integrated Manufacturing, 29(5) (2013) 367–381.

    Article  Google Scholar 

  33. A. G. Conceicao, M. D. Correia and L. Martinez, Modeling and friction estimation for wheeled omnidirectional mobile robots, Robotica, 34(9) (2016) 2140–2150.

    Article  Google Scholar 

  34. Lamon and R. Siegwart, Wheel torque control in rough terrain-modeling and simulation, Proceedings IEEE International Conference on Robotics and Automation (2005) 867–872.

  35. R. Cajo, T. T. Mac, D. Plaza, C. Copot, R. De Keyser and C. Ionescu, A survey on fractional order control techniques for unmanned aerial and ground vehicles, IEEE Access, 7 (2019) 66864–66878.

    Article  Google Scholar 

  36. H.-S. Jeong, T.-K. Kim, D. Y. Kim, B.-J. Jung, H.-J. Song, J. M. Lee, H. Son, S.-H. Kim and J.-H. Hwang, A study on driving stability for climb the kerb of outdoor mobile robot, The Proceedings of 2020 The Korean Society of Mechanical Engineers Conference (2020) 1577–1578 [Online] https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10527719.

  37. J.-H. Hwang, D. Y. Kim, T.-K. Kim and B.-J. Jung, Wheel Structure and Moving Body Using the Same to Overcome Obstacles, Korea Patent No. 10-2019-0167600 (2019) Doi: https://doi.org/10.8080/1020190167600.

  38. D. H. Shin and K. H. Park, Velocity kinematic modeling for wheeled mobile robots, Proceedings-IEEE international Conference on Robotics and Automation, 4(1) (2001) 3516–3522.

    Google Scholar 

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Acknowledgments

This work was supported by the Industry Core Technology Development Project, 20005062, Development of Artificial Intelligence Robot Autonomous Navigation Technology for Agile Movement in Crowded Space, funded by the Ministry of Trade, Industry & Energy (MOTIE, Republic of Korea).

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A4A1018227).

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Correspondence to Hyungpil Moon.

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Nabih Pico received his B.Sc. degree in Electronic and Telecommunication Engineering from Escuela Superior Politécnica del Litoral (ESPOL), in 2014. From 2014 to 2018, he worked as an Assistant Lecturer in robotics with ESPOL. He joined Sungkyunkwan University, Korea, in 2018 to pursue his Ph.D. in Mechanical Engineering at the Robotics and Intelligent System Engineering Laboratory. His current research interest includes autonomous mobile robot, design, control, and analysis of robot-terrain.

Hong-ryul Jung received his B.SE. degree in Mechanical Engineering and Self-designed Transdisciplinary Studies (Artificial Intelligence) in 2017 from Sungkyunkwan University, South Korea. He is currently a Ph.D. student at the Robotics and Intelligent System Engineering Laboratory of the same university. His main research interest is imitation learning for task and motion planning.

Juan Medrano received his B.Sc. degree in Mechatronics Engineering from Universidad del Valle de Guatemala in 2014 and M.Sc. in the same field from Sungkyunkwan University in 2020, where he currently is a Ph.D. student. His research interests are autonomous robot navigation, computer vision and machine learning.

Meseret Abayebas received the B.Sc. degree in Electrical Engineering from Addis Ababa Institute of Technology, Ethiopia in 2015. Before starting his Ph.D., he worked as an Assistant Lecturer with the Addis Ababa Institute of Technology. He joined Sungkyunkwan University, Korea, in 2016 to pursue his Ph.D. degree with the Robotics and Intelligent System Engineering Laboratory. His current research areas lie in modeling, analysis, and nonlinear control theory with applications to mechatronic systems, including robot manipulators and others. He also works on physical human-robot interaction.

Dong Yeop Kim received his B.S. and M.S. in electrical and electronic engineering from Yonsei University, Seoul, Republic of Korea, in 2008 and 2010, respectively. He is a senior researcher in KETI (Korea Electronics Technology Institute) from 2010, and a Ph.D. candidate in electrical and electronic engineering at Yonsei University. His current research interest includes robot navigation, SLAM, sensor fusion, deep learning, and robotic intelligence.

Jung-Hoon Hwang received his B.S. in electrical and electronic engineering from Yonsei University, Seoul, Republic of Korea, in 1997. He received his M.Sc. and Ph.D. in mechanical engineering from Korea Advanced Institute of Science and Technology (KAIST), in 1999 and 2007, respectively. He is a Principal Researcher in KETI (Korea Electronics Technology Institute) from 2007, and also the Director of the Intelligent Robotics Research Center of KETI. His current research interests include robotic manipulation, robot navigation, haptic, human robot interface, deep learning, and robot intelligence.

Hyungpil Moon received his B.S. and M.S. in mechanical engineering from the Pohang University of Science and Technology, Pohang, South Korea, in 1996 and 1998, respectively. He received his Ph.D. in mechanical engineering from the University of Michigan, Ann Arbor, MI, USA, in 2005. From 2006 to 2007, he was a postdoctoral researcher at the Robotics Institute, Carnegie Mellon University. In 2008, he joined the Faculty of the School of Mechanical Engineering, Sungkyunkwan University, Suwon, South Korea, where he is currently a professor. His current research interests include robotic manipulation, SLAM, and polymer-based sensors and actuators.

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Pico, N., Jung, Hr., Medrano, J. et al. Climbing control of autonomous mobile robot with estimation of wheel slip and wheel-ground contact angle. J Mech Sci Technol 36, 959–968 (2022). https://doi.org/10.1007/s12206-022-0142-6

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  • DOI: https://doi.org/10.1007/s12206-022-0142-6

Keywords

  • Autonomous mobile robot
  • Contact angle estimation
  • Kinematic analysis
  • Slip control