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Robust adaptive control of door opening by a mobile rescue manipulator based on unknown-force-related constraints estimation

Published online by Cambridge University Press:  03 May 2017

Liang Ding
Affiliation:
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China. E-mails: liangding@hit.edu.cn, gaohaibo@hit.edu.cn, dengzq@hit.edu.cn
Kerui Xia*
Affiliation:
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China. E-mails: liangding@hit.edu.cn, gaohaibo@hit.edu.cn, dengzq@hit.edu.cn
Haibo Gao
Affiliation:
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China. E-mails: liangding@hit.edu.cn, gaohaibo@hit.edu.cn, dengzq@hit.edu.cn
Guangjun Liu
Affiliation:
Department of Aerospace Engineering, Ryerson University, Toronto, Ontario, M5B 2K3, Canada. E-mail: gjliu@ryerson.ca
Zongquan Deng
Affiliation:
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China. E-mails: liangding@hit.edu.cn, gaohaibo@hit.edu.cn, dengzq@hit.edu.cn
*
*Corresponding author. E-mail: keruixia@gmail.com

Summary

This study focuses on a door-opening mobile manipulator operating in four phases (reaching the door, grasping the door handle, turning the door handle, and pulling the door). We use force/torque feedback-based control, achieving compliance of the mobile base when it comes into contact with the handle. A method is proposed for estimating the unknown force-related constraints from manipulator joint position measurements. A robust adaptive control strategy is developed for tracking the planned trajectory to open the door. Finally, a mobile manipulator opens a real door with a locked latch and unknown force-related constraints, demonstrating the validity of the proposed approach.

Type
Articles
Copyright
Copyright © Cambridge University Press 2017 

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References

1. Ahmad, S., Zhang, H. and Liu, G., “Multiple working mode control of door-opening with a mobile modular and reconfigurable robot,” IEEE/ASME Trans. 2, 115122 (2012).Google Scholar
2. Brooks, R., Aryananda, L., Edsinger, A., Fitzpatrick, P., Kemp, C., O'Reilly, U. M., Torres-Jara, E., Varshavskaya, P. and Weber, J., “Sensing and manipulating built-for-human environments,” Int. J. Humanoid Robot. 1 (1), 128 (2004).CrossRefGoogle Scholar
3. Chung, W., Rhee, C., Shim, Y., Lee, H. and Park, S., “Door-Opening control of a service robot using the multifingered robot hand,” IEEE Trans. Ind. Electron. 56 (10), 39753984 (2009).Google Scholar
4. Ding, L., Gao, H., Xia, K., Liu, Z., Tao, J. and Liu, Y., “Adaptive sliding mode control of mobile manipulators with Markovian switching joints,” J. Appl. Mathematics, 10 (3), 812836 (2012).Google Scholar
5. Huang, W., Tanie, K. and Sugano, S., “Coordinated motion planning for a mobile manipulator considering stability and manipulation,” Int. J. Robot. Res. 19 (8), 732742 (2000).Google Scholar
6. Inoue, F. and Murakami, T., “A motion control of mobile manipulator with external force,” IEEE/ASME Trans. Mechatronics, 6 (2), 137142 (2001).CrossRefGoogle Scholar
7. Jamisola, R., Ang, M., Oetomo, D., Khatib, O., Lim, T. and Lim, S., “The Operational Space Formulation Implementation to Aircraft Canopy Polishing using a Mobile Manipulator,” Proceedings of the IEEE International Conference on Robotics and Automation, Washington. New York: IEEE Press, vol. 1 (2002) pp. 400–405.Google Scholar
8. Katsura, S., Matsumoto, Y. and Ohnishi, K., “Modeling of force sensing and validation of disturbance observer for force control,” IEEE Trans. Ind. Electron. 54 (1), 530538 (2007).Google Scholar
9. Khatib, O., Yokoi, K., Brock, O., Chang, K. and Casal, A., “Robots in human environment: Basic autonomous capabilities,” Int. J. Robot. Res. 18 (7), 684696 (1999).Google Scholar
10. Kim, D., Kang, J., Hwang, C. and Park, K., “Mobile Robot for Door Opening in a House,” In: Knowledge-Based Intelligent Information and Engineering Systems, Vol. LNAI-3215 (Springer-Verlag, New York, 2004) (pp. 596602).CrossRefGoogle Scholar
11. Klingbeil, E., Saxena, A. and Ng, A. Y., “Learning to Open New Doors,” AAAI 17th Annual Robot Workshop and Exhibition, Chicago (2008) pp. 2751–2757.Google Scholar
12. Kobayashi, S., Kobayashi, Y., Yamamoto, Y., Watanabe, T., Ohtsubo, Y., Inoue, T., Yasuda, M. and Takamori, Y., “Development of a Door Opening System on Rescue Robot for Search' UMRS-2007,” Proceedings of the SICE Annual Conference, Tokyo. Tokyo: The Society of Instrument and Control Engineers (SICE) (2008) pp. 2062–2065.Google Scholar
13. Kragic, D., Petersson, L. and Christenseni, H. I., “Visually guided manipulation tasks,” Robot. Autonomous Syst. 40 (2), 193203 (2002).Google Scholar
14. Li, Z., Ge, S. S., Adams, M. and Wijesoma, W. S., “Adaptive robust output-feedback motion/force control of electrically driven nonholonomic mobile manipulators,” IEEE Trans. Control Syst. Technol. 16 (6), 13081315 (2008a).Google Scholar
15. Li, Z., Ge, S. S., Adams, M. and Wijesoma, W. S., “Robust adaptive control of uncertain force/motion constrained nonholonomic mobile manipulators,” Automatica, 44 (3), 776784 (2008b).Google Scholar
16. Li, Z., Ge, S. S. and Wang, Z., “Robust adaptive control of coordinated multiple mobile manipulators,” Mechatronics, 18, 239250 (2008).CrossRefGoogle Scholar
17. Liu, G., “Decomposition-based friction compensation of mechanical systems,” Mechatronics, 12 (5), 755769 (2002).Google Scholar
18. Liu, G., Goldenberg, A. A. and Zhang, Y., “Precise slow motion control of a direct-drive robot arm with velocity estimation and friction compensation,” Mechatronics, 14 (7), 821834 (2004).Google Scholar
19. Nagatani, K. and Yuta, S., “Designing a Behavior to Open a Door and to Pass Through a Door-Way Using a Mobile Robot Equipped with a Manipulator,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots & Systems, vol. 2, Munich, New York: IEEE Press, vol. 2 (1994) pp. 847–853.Google Scholar
20. Nagatani, K. and Yuta, S. I., “An Experiment on Opening-Door-Behavior by an Autonomous Mobile Robot with a Manipulator,” Proceedings of the IEEE/RSJ International Conference on Intelligent Robots & Systems, vol. 2, Pittsburgh. New York: IEEE Press, vol. 2 (1995) pp. 45–50.Google Scholar
21. Nagatani, K. and Yuta, S., “Designing Strategy and Implementation of Mobile Manipulator Control System for Opening Door,” Proceedings of the IEEE International Conference on Robotics & Automation, vol. 3, Minneapolis. New York: IEEE Press, vol. 3 (1996) pp. 2828–2834.Google Scholar
22. Niemeyer, G. and Slotine, J. J. E., “A Simple Strategy for Opening an Unknown Door,” Proceedings of the IEEE International Conference on Robotics and Automation, vol. 2, Albuquerque. New York: IEEE Press, vol. 2 (1997) pp. 1448–1453.Google Scholar
23. Petersson, L., Austin, D. and Kragic, D., “High-Level Control of a Mobile Manipulator for Door Opening,” Proceedings of the IEEE/RSJ International Conference on Robots and Systems, vol. 3, Takamatsu. New York: IEEE Press, vol. 3 (2000) pp. 2333–2338.Google Scholar
24. Petersson, L., Austin, D., Kragic, D. and Christensen, H. I., “Towards an Intelligent Service Robot System,” Proceedings of the International Conference on Intelligent Autonomous Systems, Venice (2000) pp. 704–709.Google Scholar
25. Xia, K., Ding, L., Gao, H., Deng, Z., Liu, G. and Wu, Y., “Switch Control for Operating Constrained Mechanisms Using a Rescuing Mobile Manipulator with Multiple Working Modes,” IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), (Oct. 2016) (pp. 139–146).Google Scholar
26. Waarsing, B. J. W., Nuttin, M. and van Brussel, H., “Behaviour-based Mobile Manipulation: The Opening of a Door,” Proceedings of the 1st International Workshop on Advanced Serv. Robot., Bardolino (2003) pp. 168–175.Google Scholar
27. Zhang, H., Ahmad, S. and Liu, G., “Torque estimation for robotic joint with harmonic drive transmission based on position measurements,” IEEE Trans. Robot. 31 (2), 322330 (2015).Google Scholar
28. Xia, K., Gao, H., Ding, L., Liu, G., Deng, Z., Liu, Z. and Ma, C., “Trajectory Tracking Control of Wheeled Mobile Manipulator Based on Fuzzy Neural Network and Extended Kalman Filtering,” In: Neural Computing and Applications (2016) pp. 1–16.Google Scholar