A New Method for Simultaneous Evolution of Robot Behaviors based on Multiobjective Evolution

This paper proposes a new method for simultaneous acquisition of different robot behaviors. The proposed method is based on multiobjective evolutionary algorithm, where each behavior is considered as separate objective function. Based on the Pareto optimal set of neural controllers the user can sele...

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1. Verfasser:	Capi, G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Batteries Chromium Conference management Energy capture evolution Evolutionary computation Intelligent robots Multiobjective optimization neural controllers Optimal control Protection Robot sensing systems Rodents
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creator	Capi, G.
description	This paper proposes a new method for simultaneous acquisition of different robot behaviors. The proposed method is based on multiobjective evolutionary algorithm, where each behavior is considered as separate objective function. Based on the Pareto optimal set of neural controllers the user can select the most appropriate based on his requirements. We considered evolution of a neural controller for the Cyber Rodent robot that has to complete simultaneously two different tasks: (1) protecting another moving robot by trying to keep a fixed short distance and (2) keeping a sufficient energy level by capturing the battery packs distributed in the environment. Results show a good performance of proposed method
doi_str_mv	10.1109/IROS.2006.281901
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Batteries Chromium Conference management Energy capture evolution Evolutionary computation Intelligent robots Multiobjective optimization neural controllers Optimal control Protection Robot sensing systems Rodents
title	A New Method for Simultaneous Evolution of Robot Behaviors based on Multiobjective Evolution
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