The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2014
Session ID : 1A1-X05
Conference information
1A1-X05 Influence of task complexity on the evolution strategy of locomotive robot(Evolution and Learning for Robotics)
Kenji IWADATE, Ikuo SUZUKI, Michiko WATANABE, Masahito YAMAMOTO, Masashi FURUKAWA
Author information
Keywords: Evolutionary Robotics, Genetic Algorithm, Artificial Neural Network, Locomotive Robot
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Download PDF (541K)
Download citation RIS

(compatible with EndNote, Reference Manager, ProCite, RefWorks)

BIB TEX

(compatible with BibDesk, LaTeX)

Text
How to download citation
Contact us
Abstract
In this work, we considered the influence of task complexity in the shape evolution of the locomotive robot. Robots were evolved in a virtual physical environment for achieving various tasks. Acquired shapes of robots were classified in 4 types according to the number of legs.
Content from these authors
© 2014 The Japan Society of Mechanical Engineers
Previous article Next article
Favorites & Alerts

Recently viewed articles
Announcements from publisher
Share this page
feedback
 Top