Using genetic algorithms to establish efficient walking gaits for an eight-legged robot

Luk, B.L., Galt, S. and Chen, S. (2001) Using genetic algorithms to establish efficient walking gaits for an eight-legged robot. International Journal of Systems Science, 32, (6), 703-713.


[img] Postscript
Download (6Mb)


In the design and development of a legged robot, many factors need to be considered. As a consequence, creating a legged robot that can efficiently and autonomously negotiate a wide range of terrain is a challenging task. Many researchers working in the area of legged robotics have traditionally looked towards the natural world for inspiration and solutions, reasoning that these evolutionary solutions are appropriate and effective because they have passed the hard tests for survival over time and generations. This paper reports the use of genetically inspired learning strategies, commonly referred to as genetic algorithms, as an evolutionary design tool for improving the design and performance of an algorithm for controlling the leg stepping sequences of a walking robot. The paper presents a specific case of finding optimal walking gaits for an 8-legged robot called Robug IV and simulated results are provided.

Item Type: Article
Additional Information: Address: London
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 252955
Accepted Date and Publication Date:
June 2001Published
Date Deposited: 11 Jul 2001
Last Modified: 31 Mar 2016 13:53
Further Information:Google Scholar

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics