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A Bioinspired Gait Transition Model for a Hexapod Robot
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Inspired by the analysis of the ant locomotion observed by the high-speed camera, an ant-like gait transition model for the hexapod robot is proposed in this paper.
The model which consists of the central neural system (CNS), neural network (NN), and central pattern generators (CPGs) can produce the rhythmic signals for different gaits and can realize the transition of these gait automatically and smoothly according to the change of terrain.
The proposed model suggests the neural mechanisms of the ant gait transition and can improve the environmental adaptability of the hexapod robot.
The numerical simulation and corresponding physical experiment are implemented in this paper to verify the proposed method.
American Psychological Association (APA)
Chang, Qing& Mei, Fanghua. 2018. A Bioinspired Gait Transition Model for a Hexapod Robot. Journal of Robotics،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1197774
Modern Language Association (MLA)
Chang, Qing& Mei, Fanghua. A Bioinspired Gait Transition Model for a Hexapod Robot. Journal of Robotics No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1197774
American Medical Association (AMA)
Chang, Qing& Mei, Fanghua. A Bioinspired Gait Transition Model for a Hexapod Robot. Journal of Robotics. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1197774
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197774