J4 ›› 2016, Vol. 13 ›› Issue (1): 30-38.doi: 10.1016/S1672-6529(14)60157-8

• 论文 • 上一篇    下一篇

Chaotic CPG Based Locomotion Control for Modular Self-reconfigurable Robot

Jizhuang Fan, Yu Zhang, Hongzhe Jin, Xiaolu Wang, Dongyang Bie, Jie Zhao, Yanhe Zhu   

  1. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China
  • 收稿日期:2015-06-02 修回日期:2015-12-02 出版日期:2016-01-10 发布日期:2016-01-10
  • 通讯作者: Yanhe Zhu E-mail:yhzhu@hit.edu.cn
  • 作者简介:Jizhuang Fan, Yu Zhang, Hongzhe Jin, Xiaolu Wang, Dongyang Bie, Jie Zhao, Yanhe Zhu

Chaotic CPG Based Locomotion Control for Modular Self-reconfigurable Robot

Jizhuang Fan, Yu Zhang, Hongzhe Jin, Xiaolu Wang, Dongyang Bie, Jie Zhao, Yanhe Zhu   

  1. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China
  • Received:2015-06-02 Revised:2015-12-02 Online:2016-01-10 Published:2016-01-10
  • Contact: Yanhe Zhu E-mail:yhzhu@hit.edu.cn
  • About author:Jizhuang Fan, Yu Zhang, Hongzhe Jin, Xiaolu Wang, Dongyang Bie, Jie Zhao, Yanhe Zhu

摘要:

The most important feature of Modular Self-reconfigurable Robot (MSRR) is the adaption to complex environments and changeable tasks. A critical difficulty is that the operator should regulate a large number of control parameters of modules. In this paper, a novel locomotion control model based on chaotic Central Pattern Generator (CPG) is proposed. The chaotic CPG could produce various rhythm signals or chaotic signal only by changing one parameter. Utilizing this characteristic, a unified control model capable of switching variable locomotion patterns or generating chaotic motion for modular self-reconfigurable robot is presented. This model makes MSRR exhibit environmental adaptability. The efficiency of the control model is verified through simulation and experiment of UBot MSRR platform.

关键词: chaotic CPG, self-reconfigurable robot, environment adaptability, locomotion control model

Abstract:

The most important feature of Modular Self-reconfigurable Robot (MSRR) is the adaption to complex environments and changeable tasks. A critical difficulty is that the operator should regulate a large number of control parameters of modules. In this paper, a novel locomotion control model based on chaotic Central Pattern Generator (CPG) is proposed. The chaotic CPG could produce various rhythm signals or chaotic signal only by changing one parameter. Utilizing this characteristic, a unified control model capable of switching variable locomotion patterns or generating chaotic motion for modular self-reconfigurable robot is presented. This model makes MSRR exhibit environmental adaptability. The efficiency of the control model is verified through simulation and experiment of UBot MSRR platform.

Key words: chaotic CPG, self-reconfigurable robot, environment adaptability, locomotion control model