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Evolving legged robots using biologically inspired optimization strategies

Smith, B, Saaj, CM and Allouis, E (2011) Evolving legged robots using biologically inspired optimization strategies In: IEEE International Conference on Robotics and Biomimetics, 2010-12-14 - 2010-12-18, Tianjin, China.

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Abstract

When designing a legged robot a small change in one variable can have a significant effect on a number of the robot’s characteristics, meaning that making tradeoffs can be difficult. The algorithm presented in this paper uses biologically inspired optimization techniques to identify the effects of changing various robot design variables and determine if there are any general rules which can be applied to the design of a legged robot. Designs produced by this simulation are also compared to existing robot designs and biological systems, showing that the algorithm produces results which require less power than other robots of a similar mass, and which share a number of characteristics with biological systems.

Item Type: Conference or Workshop Item (Paper)
Additional Information:

Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Depositing User: Symplectic Elements
Date Deposited: 03 Feb 2012 14:06
Last Modified: 23 Sep 2013 18:54
URI: http://epubs.surrey.ac.uk/id/eprint/27650

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