How useful is lifelong evolution for robotics?

Authors:
Joanne Walker;Myra Wilson
Affiliations:
Dept. of Computer Science, UW Aberystwyth, Wales, UK;Dept. of Computer Science, UW Aberystwyth, Wales, UK
Venue:
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Year:
2002

Citing 2
Cited 0

Using genetic algorithms to learn reactive control parameters for autonomous robotic navigation

Adaptive Behavior
Evolutionary computation: toward a new philosophy of machine intelligence

Evolutionary computation: toward a new philosophy of machine intelligence

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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.