Multi-objective-based configuration generation and optimization for reconfigurable modular robot

A new method for reconfigurable modular robot on configuration auto-generation, optimization and evaluation was proposed in this paper. On the basis of assign and design of the module, a new descriptive method of configuration-CCM was proposed, and it can describe the configuration directly and completely which needed to satisfy the assembly requirement. Genetic-simulated annealing algorithm has been used for multi-objective optimization of configuration in the accessibility and the optimality of joint variables. Through the 3D dynamic simulation of configuration by Robotics Toolbox, the overall optimality was proved.

[1]  Guilin Yang,et al.  Configuration independent kinematics for modular robots , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[2]  Guang Chen,et al.  Kernel for Modular Robot Applications: Automatic Modeling Techniques , 1999, Int. J. Robotics Res..

[3]  Li Shu-jun Modules and Configuration Design of Reconfigurable Modular Robots , 2004 .

[4]  Joel W. Burdick,et al.  Determining task optimal modular robot assembly configurations , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[5]  Guilin Yang,et al.  Automatic Model Generation for Modular Reconfigurable Robot Dynamics , 1998 .