SWARM
Adaptive multi-robot behavior via learning momentum
J.B. Lee, Ronald C. Arkin
- 发表年份
- 2004
- 引用次数
- 10
摘要
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.
关键词
RobotMomentum (technical analysis)Context (archaeology)Computer scienceParametric statisticsArtificial intelligenceAdaptive behaviorVariation (astronomy)SimulationControl engineering
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