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Content Provider | IEEE Xplore Digital Library |
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Author | Chengju Liu Qijun Chen Tao Xu |
Copyright Year | 2011 |
Description | Author affiliation: College of Electronic Information and Engineering, Tongji University, Shanghai 201804, China (Chengju Liu; Qijun Chen; Tao Xu) |
Abstract | This paper presents a biological inspired control strategy for a quadruped robot. A Central pattern generator (CPG) network and a knee-to-hip mapping function are presented to realize the rhythmic motion for the quadruped robot. Based on genetic algorithm (GA), basic animal-like gait patterns can be realized. Moreover, the animal's vestibular reflex mechanism is mimicked to realize the adaptive walking of the quadruped robot on slope terrain. Entrainment with the sensory feedback from robot-environment interaction, the robot can walk up and down a slope smoothly. The presented CPG-based control method is validated through simulations and experiments with AIBO. Under the control of the presented CPG network, AIBO can realize animal-like walking pattern. Couples with the body attitude feedback signals, it also can cope with slipping, falling down and walk on a slope successfully, which demonstrate the effectiveness of the proposed biological inspired control method. |
Starting Page | 1167 |
Ending Page | 1172 |
File Size | 1460466 |
Page Count | 6 |
File Format | |
ISBN | 9781612846989 |
e-ISBN | 9781612847009 |
DOI | 10.1109/WCICA.2011.5970700 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-21 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Legged locomotion Joints Leg Oscillators Robot kinematics Robot sensing systems GA CPG (central pattern generator) locomotion control quadruped robot vestibular reflex |
Content Type | Text |
Resource Type | Article |
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