首页 /研究 /Adaptive Multi-Robot Behavior via Learning Momentum
SWARM

Adaptive Multi-Robot Behavior via Learning Momentum

Joungbin Lee, Ronald C. Arkin

发表年份
2003
引用次数
3

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. 1.

关键词

Momentum (technical analysis)RobotComputer scienceAdaptive behaviorHuman–computer interactionArtificial intelligencePsychologyDevelopmental psychologyEconomics

相关论文

查看 SWARM 分类全部论文