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Contour tracking of an unknown planar object by regulating force for mobile robot navigation

Published online by Cambridge University Press:  01 May 2006

Seul Jung ,
Poongwoo Jeon  and
T. C. Hsia
Seul Jung*
Affiliation:
BK 21 Mechatronics Group, Intelligent Systems and Emotional Engineering Laboratory, Chungnam National University, Daejeon 305-764, Korea
Poongwoo Jeon
Affiliation:
BK 21 Mechatronics Group, Intelligent Systems and Emotional Engineering Laboratory, Chungnam National University, Daejeon 305-764, Korea
T. C. Hsia
Affiliation:
Department of Electrical and Computer Engineering, University of California, Davis, CA 95616, USA
*
*Corresponding author. E-mail: jungs@cnu.ac.kr
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Summary

In this paper, a novel contour-tracking control method of an unknown planar object by lateral force regulation for wheeled mobile robot navigation is presented. The robot is required to follow the contour of an unknown object toward the goal position. Based on mobile robot dynamic equations, a force-control algorithm is proposed to maintain constant contact with a planar object. Measured contact force from an object is used not only to regulate a contact force in a lateral direction, but also to control the orientation angle of the robot to avoid collision with an object. Simulation and experiment of contour-tracking tasks of a wheeled mobile robot are conducted. Experimental results show that the contact force is well-regulated, and the robot arrives at the goal position successfully.

Keywords

Contour trackingMobile robot navigationForce control
Type
Article
Information
Robotica , Volume 25 , Issue 3 , May 2006 , pp. 297 - 305
Copyright
Copyright © Cambridge University Press 2006

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References

1.Borenstein, J., “Experimental evaluation of a fiber optic gyroscope for improving dead-reckoning accuracy in mobile robots,” Proceedings of the IEEE Conference on Robotics and Automation 1998 pp. 3456–3461.Google Scholar
2.Jetto, L., Longhi, S. and Venturini, G., “Development and experimental validation of an adaptive extended Kalman filter for the localization of mobile robots,” IEEE Trans. Robot. Autom. 15 (2), 219–229 (Apr. 1999).Google Scholar
3.Larsen, T. D., Hansen, K. L., Anderson, N. A. and Ravn, O., “Design of Kalman filters for mobile robots; evaluation of the kinematics and odometric approach,” Proceedings of the IEEE Conference on Control Applications, Piscataway, NJ 1999 pp. 1021–1026.Google Scholar
4.Tsai, C. C., “A localization system of a mobile robot by fusing dead-reckoning and ultrasonic measurements,” Proceedings of the IEEE Conference on Instrumentation and Measurement Technology, Minnesota (May 18–21, 1998) pp. 144–149.Google Scholar
5.Jang, P. S., Jang, E. S., Jeon, S. W. and Jung, S., “Neural network based guidance control of a mobile robot,” Proceedings of the International Conference on Control, Automations and Systems 2003 pp. 1099–1104.Google Scholar
6.Sarkar, N., Yun, X., and Kumar, V., “Control of mechanical systems with rolling constraints: Application to dynamic control of mobile robots,” Int. J. Robot. Res. 31, 55–69 1994.CrossRefGoogle Scholar
7.Komanovsky, I. and McClamroch, N. H., “Developments in non-hononomic control problems,” IEEE Control Syst. Mag. 15 (6), 20–36 1995.Google Scholar
8.Jang, Z. P. and Nijmeijer, H., “Tracking control of mobile robots: A case study in backstepping,” Automatica 33 (7), 1393–1399 1997.Google Scholar
9.Wu, W., Chen, H. and Wang, Y., “Backstepping design for path tracking of mobile robots,” Proceedings of the 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems 1999 pp. 1822–1827.Google Scholar
10.Kanayama, Y., Kimura, Y., Miyazaki, F. and Noguchi, T., “A stable tracking control method for a non-holonomic mobile robot,” Proceedings of the IEEE/RSJ International Workshop on Intelligent Robots and Systems, IROS 1991 pp. 1236–1241.Google Scholar
11.Kanayama, Y. and Fahroo, F., “A new line tracking method for non-holonomic vehicles,” Proceedings of the IEEE Conference on Robotics and Automations 1997 pp. 2908–2913.Google Scholar
12.Chung, Y., Park, C. and Harashima, F., “A position control differential drive wheeled mobile robot,” IEEE Trans. Ind. Electron. 48 (4), 853–863 2001.Google Scholar
13.Hogan, N., “Impedance control: An approach to manipulator, part i, ii, iii,” ASME J. Dyn. Syst. Meas. Control 3, 1–24 1985.Google Scholar
14.Raibert, M. and Craig, J., “Hybrid position/force control of manipulators,” ASME J. Dyn. Syst. Meas. Control 102, 126–133 1981.CrossRefGoogle Scholar
15.Anderson, R. and Spong, M. W., “Hybrid impedance control of robotic manipulators,” Proceedings of the IEEE Conference on Robotics and Automation 1987 pp. 1073–1080.Google Scholar
16.Liu, G. J. and Goldenberg, A. A., “Robust hybrid impedance control of robot manipulators,” Proceedings of the IEEE Conference on Robotics and Automation 1991 pp. 287–292.Google Scholar
17.Colbaugh, R., Seraji, H. and Glass, K., “Direct adaptive impedance control of robot manipulators,” J. Robot. Syst. 10, 217–248 1993.CrossRefGoogle Scholar
18.Jung, S. and Hsia, T. C., “Robust neural force control scheme under uncertainties in robot dynamics and unknown environment,” IEEE Trans. Ind. Electron. 47 (2), 403–412 2000.Google Scholar
19.Byrne, R. H., Abdallah, C. T., and Dorato, P., “Experimental results in robust lateral control of highway vehicles,” IEEE Control Syst. Mag. 70–76 1997.CrossRefGoogle Scholar
20.Fritz, H., “Longitudinal and lateral control of heavy duty trucks for automated vehicle following in mixed traffic: Experimental results from the CHAUFFEUR project,” Proceedings of the IEEE Conference on Control Applications 1999 pp. 1348–1352.Google Scholar
21.Cai, L., Rad, A. B. and Cai, K. Y., “A robust fuzzy PD controller for automatic steering control of autonomous vehicles,” Proceedings of the IEEE Conference on Fuzzy Systems 2003 pp. 549–554.Google Scholar