Abstract
A dead reckoning system for a wheeled mobile robot was designed, and the method for robot’s pose estimation in the 3D environments was presented on the basis of its rigid-body kinematic equations. After analyzing the locomotion architecture of mobile robot and the principle of proprioceptive sensors, the kinematics model of mobile robot was built to realize the relative localization. Considering that the research on dead reckoning of mobile robot was confined to the 2 dimensional planes, the locomotion of mobile robot in the 3 coordinate axis direction was thought over in order to estimate its pose on uneven terrain. Because the computing method in a plane is rather mature, the calculation in height direction is emphatically represented as a key issue. With experimental results obtained by simulation program and robot platform, the position of mobile robot can be reliably estimated and the localization precision can be effectively improved, so the effectiveness of this dead reckoning system is demonstrated.
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References
Kleinberg J M. The localization problem for mobile robots[C]// Proceedings of the 35th IEEE Symposium on Foundations of Computer Science (FOCS). Los Alamitos: IEEE Computer Society Press, 1994: 521–531.
Borenstein J, Everett H R, Feng L, et al. Mobile robot positioning-sensors and techniques[J]. Journal of Robotic Systems, 1997, 14(4): 231–249.
Fuke Y, Krotkov E. Dead reckoning for a lunar rover on uneven terrain[C]// Proceedings of the 1996 IEEE International Conference on Robotics and Automation. Piscataway: IEEE Press, 1996: 411–416.
CAI Zi-xing, HE Han-gen, CHEN Hong Some issues for mobile robot navigation under unknown environments[J]. Control and Decision, 2002,17(4): 385–391. (in Chinese)
Negenborn R. Robot localization and kalman filters [D]. Copenhagen: Institute of Datogisk, Copenhagen University, 2003.
HU Ming, DENG Zong-quan, WANG Shao-chun, et al. Key technologies for lunar rover locomotive system[J]. Journal of Harbin Institute of Technology, 2003, 35(7): 795–798. (in Chinese)
Tzafestas S G. Advances in intelligent autonomous systems[M]. Dordrecht: Kluwer Academic Publishers, 1999.
Ridao P, Forest J, Facheco L, et al. Sensorial and navigation systems for a mobile robot (ROGER)[C]// Proceedings of the 3rd IFAC Symposium on Intelligent Autonomous Vehicles. Amsterdam: Elsevier Science Publishing Company, 1998: 450–455.
Murpy R R. Introduction to AI robotics[M]. DU Jun-ping, WU Li-cheng, HU Jin-chun, translate. Beijing: Electronics Industry Press, 2004. (in Chinese)
Kelly A. General solution for linearized systematic error propagation in vehicle odometry[C]// Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Maui, 2001: 1938–1945.
Martinelli A. The odometry error of a mobile robot with a synchronous drive system[J]. IEEE Transactions on Robotics and Automation, 2002, 18(3): 399–405.
Bennett S M, Dyott R, Allen D, et al. Fiber optic rate gyros as replacement for mechanical gyros[C]// Proceedings of the AIAA Guidance, Navigation and Control Conference. Reston: AIAA Press, 1998: 1315–1321.
Borenstein J. Experimental evaluation of a fiber optics gyroscope for improving dead-reckoning accuracy in mobile robots[C]// Proceedings of the 1998 IEEE International Conference on Robotics and Automation. Piscataway: IEEE Press, 1998: 3456–3461.
Chung H, Ojeda L, Borenstein J. Accurate mobile robot dead-reckoning with a precision-calibrated fiber optic gyroscope[J]. IEEE Transactions on Robotics and Automation, 2001, 17(1): 80–84.
Ojeda L, Borenstein J. FLEXnav: Fuzzy logic expert rule-based position estimation for mobile robots on rugged terrain[C]// Proceedings of the 2002 IEEE International Conference on Robotics and Automation. Washington, 2002: 317–322.
Iagnemma K, Dubowsky S. Traction control of wheeled robotic vehicles with application to planetary rovers[J]. International Journal of of Robotics Research, 2004, 23(10): 1029–1040.
CAI Zi-zing, ZOU Xiao-bing, WANG Lu, et al. Design of distributed control system for mobile robot [J]. Journal of Central South University: Science and Technology, 2005, 36(5): 727–732. (in Chinese)
CAI Zi-xing. Robotics[M]. Beijing: Tsinghua University Press, 2000. (in Chinese)
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Foundation item: Project(60234030) supported by the National Natural Science Foundation of China
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Yu, Jx., Cai, Zx., Duan, Zh. et al. Design of dead reckoning system for mobile robot. J Cent. South Univ. Technol. 13, 542–547 (2006). https://doi.org/10.1007/s11771-006-0084-7
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DOI: https://doi.org/10.1007/s11771-006-0084-7