A performance sensitive hormone-inspired system for task distribution amongst evolving robots

J. Walker; M. Wilson

doi:10.1109/IROS.2008.4650951

A performance sensitive hormone-inspired system for task distribution amongst evolving robots

J. Walker, M. Wilson

Department of Computer Science

Research output: Contribution to conference › Other › peer-review

16 Citations (Scopus)

Abstract

A hormone-inspired task scheduling method is described which assigns tasks to a group of robots, taking into account the robotspsila performances. This method draws on previous work using endocrine-based methodologies, and incorporates existing evolutionary robotics methods. In the resulting system, robot performance data, generated as part of evolution, is used to autonomously reassign tasks amongst the group, without the use of a central controller.

Original language	English
Pages	1293-1298
DOIs	https://doi.org/10.1109/IROS.2008.4650951
Publication status	Published - Sept 2008
Event	Intelligent Robots and Systems - Nice, Nice, France Duration: 22 Sept 2008 → 26 Sept 2008

Conference

Conference	Intelligent Robots and Systems
Abbreviated title	IROS-2008
Country/Territory	France
City	Nice
Period	22 Sept 2008 → 26 Sept 2008

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10.1109/IROS.2008.4650951

http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4650951

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author = "J. Walker and M. Wilson",

note = "Funder: EPSRC RONO: EP/D054419/1 ; Intelligent Robots and Systems, IROS-2008 ; Conference date: 22-09-2008 Through 26-09-2008",

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AB - A hormone-inspired task scheduling method is described which assigns tasks to a group of robots, taking into account the robotspsila performances. This method draws on previous work using endocrine-based methodologies, and incorporates existing evolutionary robotics methods. In the resulting system, robot performance data, generated as part of evolution, is used to autonomously reassign tasks amongst the group, without the use of a central controller.

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A performance sensitive hormone-inspired system for task distribution amongst evolving robots

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