How Useful is Lifelong Evolution for Robotics

Joanne Heather Walker, Myra Scott Wilson

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

This paper investigates a system that uses a genetic algorithm to train a robot for a generalised test environment, then an evolutionary strategy to investigate the effect of continuing the evolution as the robot progresses with its task. The paper concludes that continuing evolution after a training phase has an important role to play in producing truly adaptive robots.
Original languageEnglish
Title of host publicationFrom animals to animats 7
Subtitle of host publicationProceedings of the Seventh International Conference on Simulation of Adaptive Behavior
EditorsB. Hallam, D. Floreano, J. Meyer, G. Hayes
PublisherMIT Press
Pages347-348
Number of pages2
Edition1
ISBN (Print)9780262291170
Publication statusPublished - 2002

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