Analysis and research on motion patterns of modular reconfigurable robotics system

Modular reconfigurable robotics system is an approach to building robots for various complex tasks. Modular reconfigurable robots show the promise of great versatility, robustness and low cost. They can be used extensively to meet the demands of different tasks or different working environments. They can change their shapes, such as from snake first to loop and next to quadruped and so on. Therefore they can travel over or through obstacles, and go through small pipe. Even they can walk somewhat like a person on crutches, two legs moving at a time. They can accomplish multiple difficult tasks that other kind of robots cannot do. The quantity of the motion pattern will decide the adjustable ability of modular reconfigurable robotics system. This paper presents four kinds of motion patterns of modular reconfigurable robotics system. Each motor's motion law in different state is discussed in detail.

[1]  Kikuo Fujimura Route Planning For Mobile Robots Amidst Moving Obstacles , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Jih-Gau Juang,et al.  Gait synthesis of a biped robot using backpropagation through time algorithm , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[3]  Arthur C. Sanderson,et al.  Dynamic Analysis and Distributed Control of the Tetrobot Modular Reconfigurable Robotic System , 2001, Auton. Robots.

[4]  Kevin Dowling,et al.  Limbless locomotion: learning to crawl , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[5]  Masayuki Inaba,et al.  Generation of reactive stepping motion for a humanoid by dynamically stable mixture of pre-designed motions , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[6]  Ying Zhang,et al.  Modular Reconfigurable Robots in Space Applications , 2003, Auton. Robots.

[7]  K. Kreutz-Delgado,et al.  Optimal biped walking with a complete dynamical model , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[8]  D. T. Pham,et al.  Derivation of optimal walking motions for a bipedal walking robot , 1992, Robotica.

[9]  H. Inoue,et al.  Dynamic walking pattern generation for a humanoid robot based on optimal gradient method , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[10]  Wenwei Yu,et al.  Morpho-functional machine: design of an amoebae model based on the vibrating potential method , 1999, Robotics Auton. Syst..

[11]  Daniela Rus,et al.  Locomotion versatility through self-reconfiguration , 1999, Robotics Auton. Syst..

[12]  Yuan F. Zheng,et al.  Reinforcement learning for a biped robot to climb sloping surfaces , 1997 .

[13]  Kazuhito Yokoi,et al.  A high stability, smooth walking pattern for a biped robot , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[14]  A note on Pontrjagin forms , 2000 .

[15]  Paolo Fiorini,et al.  Motion Planning in Dynamic Environments Using Velocity Obstacles , 1998, Int. J. Robotics Res..