SWARM
Part dispatching rule-based multi-robot coordination in pick-and-place task
Yanjiang Huang, Ryosuke Chiba, Tamio Arai, Tsuyoshi Ueyama, Jun Ota
- 发表年份
- 2012
- 引用次数
- 5
摘要
In this paper, the problem of multi-robot coordination for a robot-conveyor system in a pick-and-place task is addressed. To improve the productivity of a robot-conveyor system, the combination of part dispatching rules is utilized to coordinate the action of robots. The greedy randomized adaptive search procedure (GRASP) is utilized to search for the optimal combination of part dispatching rules from a set of candidate part dispatching rules. The proposed method is verified to be effective and practical through a set of tasks in a simulation.
关键词
GRASPRobotTask (project management)SMT placement equipmentComputer scienceSet (abstract data type)Robot kinematicsGreedy randomized adaptive search procedureGreedy algorithmArtificial intelligence
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