By Topic

A co-evolution approach to sensor placement and control design for robot obstacle avoidance

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wang, X. ; Sch. of Eng., Guelph Univ., Ont., Canada ; Yang, Simon X. ; Weiren Shi ; Meng, M.Q.-H.

This paper proposes a coevolution approach to optimal sensor placement and controller design for a mobile robot to facilitate its navigation and obstacle avoidance in an unknown environment. The mobile robots considered in this paper have flexible sensor and control structure. A genetic algorithm is developed to evolve the parameters of optimal sensor placement and fuzzy logic controller simultaneously. The preliminary results indicate that the proposed coevolution approach can lead to efficient robot sensor placement and control design.

Published in:

Information Acquisition, 2004. Proceedings. International Conference on

Date of Conference:

21-25 June 2004