LEARNING
Behavior of a group composed of robots with heterogeneous motion algorithms
Daisuke Kurabayashi, Jun Ota, Tatsuo Arai, Katsuyuki Noguchi
- 发表年份
- 2003
- 引用次数
- 2
摘要
In this paper, we propose a heterogeneous robot group for cooperative task execution. The "heterogeneous" robot group is composed of robots which have different motion algorithms. In this paper, we investigate behavior of the heterogeneous robot groups by simulations of multi-agent traveling salesman problem, which we hardly solve by centralized algorithms. Then we propose an algorithm, based on reinforcement learning, to adapt mixture ratio of robots driven by different algorithms. We verify the efficiency of the autonomous heterogeneous robot group by simulations.
关键词
RobotComputer scienceGroup (periodic table)Task (project management)Travelling salesman problemRobot kinematicsMotion (physics)AlgorithmReinforcement learningMobile robot
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