Motion planning and implementation for the self-recovery of an overturned multi-legged robot

SUMMARY This paper first presents a method of motion planning and implementation for the self-recovery of an overturned six-legged robot. Previous studies aimed at the static and dynamic stabilization of robots for preventing them from overturning. However, no one can guarantee that an overturn accident will not occur during various applications of robots. Therefore, the problems involving overturning should be considered and solved during robot design and control. The design inspirations of multi-legged robots come from nature, especially insects and mammals. In addition, the self-recovery approach of an insect could also be imitated by robots. In this paper, such a self-recovery mechanism is reported. The inertial forces of the dangling legs are used to bias some legs to touch the ground, and the ground reaction forces exerted on the feet of landing legs are achieved to support and push the body to enable recovery without additional help. By employing the mechanism, a self-recovery approach named SSR (Sidewise-Self-Recovery) is presented and applied to multi-legged robots. Experiments of NOROS are performed to validate the effectiveness of the self-recovery motions. The results show that the SSR is a suitable method for multi-legged robots and that the hemisphere shell of robots can help them to perform self-recovery.

[1]  Xilun Ding,et al.  Typical gait analysis of a six-legged robot in the context of metamorphic mechanism theory , 2013 .

[2]  Daniel E. Koditschek,et al.  RHex: A Simple and Highly Mobile Hexapod Robot , 2001, Int. J. Robotics Res..

[3]  Jung-Min Yang,et al.  Fault-tolerant locomotion of the hexapod robot , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[4]  Kejia Li,et al.  Dynamics and wheel's slip ratio of a wheel-legged robot in wheeled motion considering the change of height , 2012 .

[5]  Shigeo Hirose,et al.  Tumble stability criterion of integrated locomotion and manipulation , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[6]  Philip R. Osteen,et al.  A framework for autonomous self-righting of a generic robot on sloped planar surfaces , 2012, 2012 IEEE International Conference on Robotics and Automation.

[7]  Wang Wei,et al.  Realization of a Modular Reconfigurable Robot for Rough Terrain , 2006, 2006 International Conference on Mechatronics and Automation.

[8]  L. Frantsevich.  Righting kinematics in beetles (Insecta: Coleoptera). , 2004, Arthropod structure & development.

[9]  John J. Craig,et al.  Introduction to Robotics Mechanics and Control , 1986 .

[10]  Kevin C. Galloway,et al.  Variable Stiffness Legs for Robust, Efficient, and Stable Dynamic Running , 2013 .

[11]  G. Domokos,et al.  Geometry and self-righting of turtles , 2008, Proceedings of the Royal Society B: Biological Sciences.

[12]  Robert B. McGhee,et al.  Adaptive Locomotion of a Multilegged Robot over Rough Terrain , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  Jose A. Cobano,et al.  Accurate tracking of legged robots on natural terrain , 2010, Auton. Robots.

[14]  Jeffrey J. Biesiadecki,et al.  Athlete: A cargo handling and manipulation robot for the moon , 2007, J. Field Robotics.

[15]  Francis L. Merat,et al.  Introduction to robotics: Mechanics and control , 1987, IEEE J. Robotics Autom..

[16]  Dominic Anthony Messuri.  Optimization of the locomotion of a legged vehicle with respect to maneuverability , 1985 .

[17]  Shin-Min Song,et al.  Stability analysis of wave-crab gaits of a quadruped , 1990, J. Field Robotics.

[18]  R. McGhee,et al.  On the stability properties of quadruped creeping gaits , 1968 .

[19]  Chuangde Zhang,et al.  Gaits and geometry of a walking chair for the disabled , 1989 .

[20]  Aaron Burmeister,et al.  Real-world validation of three tipover algorithms for mobile robots , 2010, 2010 IEEE International Conference on Robotics and Automation.

[21]  David E. Orin,et al.  Interactive control of a six-legged vehicle with optimization of both stability and energy / , 1976 .

[22]  Golubović Ana,et al.  Geometry of self righting: the case of Hermann’s tortoises , 2015 .

[23]  D. Orin,et al.  Interactive compute-control of a six-legged robot vehicle with optimization of stability, terrain adaptibility and energy , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.

[24]  Zhiying Wang,et al.  Mobility analysis of the typical gait of a radial symmetrical six-legged robot , 2011 .

[25]  Stephen Biggs,et al.  Proprioceptive sensing for autonomous self-righting on unknown sloped planar surfaces , 2013, 2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE).

[26]  Daniel E. Koditschek,et al.  Model-Based Dynamic Self-Righting Maneuvers for a Hexapedal Robot , 2004, Int. J. Robotics Res..

[27]  Kenneth J. Waldron,et al.  Configuration Design of the Adaptive Suspension Vehicle , 1984 .