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Part dispatching rule-based multi-robot coordination in pick-and-place task

Yanjiang Huang, Ryosuke Chiba, Tamio Arai, Tsuyoshi Ueyama, Jun Ota

Year
2012
Citations
5

Abstract

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.

Keywords

GRASPRobotTask (project management)SMT placement equipmentComputer scienceSet (abstract data type)Robot kinematicsGreedy randomized adaptive search procedureGreedy algorithmArtificial intelligence

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