Follow-the-Contact-Point gait control of centipede-like multi-legged robot to navigate and walk on uneven terrain

This paper proposes a novel locomotion control scheme of centipede-like multi-legged robot, which is called Follow-the-Contact-Point (FCP) gait control. A centipede-like multi-legged robot is composed of segmented trunks which have a pair of legs and are connected with fore and/or rear ones by joints. This control scheme realizes locomotion control of multi-legged robot on uneven terrain with perfectly decentralized manner. The main concept of the control scheme is to relay the contact points from the fore leg to the rear leg. By creating contact points of the first legs adequately on the environment, the robot can climb over obstacles and be navigated successfully. Finally, the result of physical simulation of a 20-legged robot shows the availability of the proposed method.

[1]  Hideo Yuasa,et al.  The Autonomous Decentralized Myriapod Locomotion Robot Which is Consist of Homogeneous Subsystems , 1998 .

[2]  Shinya Aoi,et al.  A Multilegged Modular Robot That Meanders: Investigation of Turning Maneuvers Using Its Inherent Dynamic Characteristics , 2007, SIAM J. Appl. Dyn. Syst..

[3]  Tamio Arai,et al.  Wave CPG model for autonomous decentralized multi-legged robot: Gait generation and walking speed control , 2006, Robotics Auton. Syst..

[4]  Alfred A. Rizzi,et al.  Inertial navigation and visual line following for a dynamical hexapod robot , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[5]  Thomas Kindermann,et al.  Walknet--a biologically inspired network to control six-legged walking , 1998, Neural Networks.

[6]  R. Full,et al.  Mechanical aspects of legged locomotion control. , 2004, Arthropod structure & development.

[7]  Ludovic Righetti,et al.  Experimental study of limit cycle and chaotic controllers for the locomotion of centipede robots , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Shigeki Yagi,et al.  Centipede type walking robot (CWR-2) , 1997, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97.

[9]  Randall D. Beer,et al.  Biologically based distributed control and local reflexes improve rough terrain locomotion in a hexapod robot , 1996, Robotics Auton. Syst..

[10]  R J Full,et al.  How animals move: an integrative view. , 2000, Science.

[11]  F. Ozguner,et al.  An Approach to the Use of Terrain- Preview Information in Rough-Terrain Locomotion by a Hexapod Walking Machine , 1984 .