Bionic learning strategy applied on snake robot motion control Online publication date: Sat, 27-Sep-2014
by Jianxian Cai; Dun Ao; Ruihong Yu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 19, No. 3, 2013
Abstract: To solve the problems that the control parameters are difficult to be made certain and the non-ideal motion performance of snake robot, we develop a bionic autonomous strategy based on operant conditioning mechanism, which can realise autonomously and optimise adjust control parameters. The designed strategy is a 5-tuple and mainly contains: 1) state space; 2) action space; 3) state transfer function, meaning the consequence after action; 4) tendency function; 5) action selection strategy, adjusting the selected probability of each action. The designed bionic strategy is applied to motion control of snake robot. The experiment analysis is carried out combined with Webots robot simulation software. The results of the simulation experiment indicate that the skill of autonomous optimisation adjustment control parameters will gradually be enhanced with the learning proceeding.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com