Multi-objective genetic algorithm for high-density robotic workcell

Lim, S.S.; Kim, J.S.; Park, Jahng Hyon

doi:10.1109/ISR.2013.6695603

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Multi-objective genetic algorithm for high-density robotic workcell

Lim, S.S.;
Kim, J.S.;
Park, Jahng Hyon

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3

초록

This paper presents a scheduling problem for a high-density robotic workcell using multi-objective genetic algorithm. Multi-robots motions are coordinated to perform with efficiency under various working conditions in the limited area while avoiding collisions between the robots. We make the best use of genetic algorithm by adding multi-object for scheduling of the multi robot system. We simulate motion of six robots with the optimized schedule and show effectiveness of the proposed multi-objective genetic algorithm.

키워드

Multi-objective genetic algorithm; Multi-robot systems; Multiobject; Multirobots; Optimized schedule; Robotic workcell; Scheduling problem; Robots; Scheduling; Robotics

제목: Multi-objective genetic algorithm for high-density robotic workcell

저자: Lim, S.S.; Kim, J.S.; Park, Jahng Hyon

DOI: 10.1109/ISR.2013.6695603

발행일: 2013-00

유형: Conference Paper

저널명: 2013 44th International Symposium on Robotics, ISR 2013