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Adaptive multi-robot behavior via learning momentum

J.B. Lee, Ronald C. Arkin

Year
2004
Citations
10

Abstract

In this paper, the effects of adaptive robotic behavior via learning momentum in the context of a robotic team are studied. Learning momentum is a variation on parametric adjustment methods that has previously been successfully applied to enhance individual robot performance. In particular, we now assess, via simulation, the potential advantages of a team of robots using this capability to alter behavioral parameters when compared to a similar team of robots with static parameters.

Keywords

RobotMomentum (technical analysis)Context (archaeology)Computer scienceParametric statisticsArtificial intelligenceAdaptive behaviorVariation (astronomy)SimulationControl engineering

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