中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Central pattern generator and feedforward neural network-based self-adaptive gait control for a crab-like robot locomoting on complex terrain under two reflex mechanisms

文献类型:期刊论文

作者Chen, Xi; Wang, Gang; Han SK(韩世凯)
刊名International Journal of Advanced Robotic Systems
出版日期2017
卷号14期号:4页码:1-13
关键词Crab-like robot central pattern generator Hopf oscillator self-adaptive control complex terrains
ISSN号1729-8806
产权排序3
通讯作者Wang, Gang
中文摘要Although quite a few central pattern generator controllers have been developed to regulate the locomotion of terrestrial bionic robots, few studies have been conducted on the central pattern generator control technique for amphibious robots crawling on complex terrains. The present article proposes a central pattern generator and feedforward neural network-based self-adaptive gait control method for a crab-like robot locomoting on complex terrain under two reflex mechanisms. In detail, two nonlinear ordinary differential equations are presented at first to model a Hopf oscillator with limit cycle effects. Having Hopf oscillators as the basic units, a central pattern generator system is proposed for the waveform-gait control of the crab-like robot. A tri-layer feedforward neural network is then constructed to establish the one-to-one mapping between the central pattern generator rhythmic signals and the joint angles. Based on the central pattern generator system and feedforward neural network, two reflex mechanisms are put forward to realize self-adaptive gait control on complex terrains. Finally, experiments with the crab-like robot are performed to verify the waveform-gait generation and transition performances and the self-adaptive locomotion capability on uneven ground.
WOS标题词Science & Technology ; Technology
类目[WOS]Robotics
研究领域[WOS]Robotics
关键词[WOS]AMPHIBIOUS SNAKE ROBOT ; TRAJECTORY GENERATION ; BIOLOGICAL CONCEPTS ; DYNAMIC WALKING ; QUADRUPED ROBOT ; CPG ; MODEL ; LAMPREY ; DESIGN ; FISH
收录类别SCI ; EI
语种英语
WOS记录号WOS:000407508200001
源URL[http://ir.sia.cn/handle/173321/20812]  
专题沈阳自动化研究所_机器人学研究室
作者单位1.Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, China
2.College of Shipbuilding Engineering, Harbin Engineering University, Harbin, China
3.College of Mechanical and Electrical Engineering, Heilongjiang Institute of Technology, Harbin, China
4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Chen, Xi,Wang, Gang,Han SK. Central pattern generator and feedforward neural network-based self-adaptive gait control for a crab-like robot locomoting on complex terrain under two reflex mechanisms[J]. International Journal of Advanced Robotic Systems,2017,14(4):1-13.
APA Chen, Xi,Wang, Gang,&Han SK.(2017).Central pattern generator and feedforward neural network-based self-adaptive gait control for a crab-like robot locomoting on complex terrain under two reflex mechanisms.International Journal of Advanced Robotic Systems,14(4),1-13.
MLA Chen, Xi,et al."Central pattern generator and feedforward neural network-based self-adaptive gait control for a crab-like robot locomoting on complex terrain under two reflex mechanisms".International Journal of Advanced Robotic Systems 14.4(2017):1-13.

入库方式: OAI收割

来源:沈阳自动化研究所

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