A Novel CPG with Proprioception and its Application on the Locomotion Control of Quadruped Robot

This paper proposes a novel central pattern generator (CPG) model with proprioceptive mechanism and the dynamic connectivity mechanism. It not only contains the sensory information of the environment but also contains the information of the actuators and automatically tunes the parameters of CPG corresponding to the actuators information and inner sensory information. The position of the joints linked directly with the output of CPG is introduced to the CPG to find its proprioceptive system, spontaneously making the robot realize the actuator working status, further changing the CPG output to fit the change and decrease the influence of the problematic joints or actuators on the robot being controlled. So the damage would be avoided and self-protection is implemented. Its application on the locomotion control of a quadruped robot demonstrates the effectiveness of the proposed approach.

[1]  J. J. Collins,et al.  Hard-wired central pattern generators for quadrupedal locomotion , 1994, Biological Cybernetics.

[2]  Vikrant Kapoor,et al.  Activity-dependent gating of lateral inhibition in the mouse olfactory bulb , 2008, Nature Neuroscience.

[3]  Serge Rossignol,et al.  Experiments and models of sensorimotor interactions during locomotion , 2006, Biological Cybernetics.

[4]  P. Haggard,et al.  Altered awareness of voluntary action after damage to the parietal cortex , 2004, Nature Neuroscience.

[5]  Yasuhiro Fukuoka,et al.  Adaptive Dynamic Walking of a Quadruped Robot on Irregular Terrain Based on Biological Concepts , 2003, Int. J. Robotics Res..

[6]  Kunikatsu Takase,et al.  Towards 3D adaptive dynamic walking of a quadruped robot on irregular terrain by using neural system model , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[7]  David E. Orin,et al.  Intelligent control of quadruped gallops , 2003 .

[8]  Auke Jan Ijspeert,et al.  Online trajectory generation in an amphibious snake robot using a lamprey-like central pattern generator model , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[9]  Kiyotoshi Matsuoka,et al.  Sustained oscillations generated by mutually inhibiting neurons with adaptation , 1985, Biological Cybernetics.

[10]  Zhao Liyao,et al.  The CPG-based bionic quadruped system , 2003 .

[11]  Yasuhiro Fukuoka,et al.  Adaptive dynamic walking of the quadruped on irregular terrain-autonomous adaptation using neural system model , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).