A unified neural oscillator model for various rhythmic locomotions of snake-like robot
- Authors
- Manzoor, Sajjad; Choi, Youngjin
- Issue Date
- Jan-2016
- Publisher
- Elsevier BV
- Keywords
- Central pattern generator (CPG); Neural oscillator; Snake-like robots
- Citation
- Neurocomputing, v.173, no.Part 3, pp.1112 - 1123
- Indexed
- SCIE
SCOPUS
- Journal Title
- Neurocomputing
- Volume
- 173
- Number
- Part 3
- Start Page
- 1112
- End Page
- 1123
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/182012
- DOI
- 10.1016/j.neucom.2015.08.069
- ISSN
- 0925-2312
- Abstract
- This paper contributes to the understanding and implementation of different types of locomotion in a snake-like robot by using a proposed unified neural oscillator model as central pattern generator (CPG). A neural oscillator network is suggested so that several rhythmic movements can be generated in order to mimic the actual snake movements on land. The unified coupled neural oscillators in the network provide the desired orientation and displacement for the snake-like robot and they are applied to the different types of snake locomotion by just altering some of the parameters proposed in the paper. The design of snake-like robot, consisting of a series of wheeled links (links with active wheels) connected with each other using the passive prismatic and revolute joints, is also suggested in the paper. The passive prismatic joints facilitate the change of lengths of wheel-less links and in this way the robot can be elongated as well as shortened. In this paper the serpentine, rectilinear, and concertina types of actual snake locomotion are realized, through simulation studies, by using the unified neural oscillator model proposed for the snake-like robots. (C) 2015 Elsevier B.V. All rights reserved.
- Files in This Item
-
Go to Link
- Appears in
Collections - ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/182012)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.