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  • AAM

    Accepted author manuscript, 2.4 MB, PDF document

DOI

This article investigates a new collision-free routing problem of a multirobot system. The objective is to minimize the cycle time of operation tasks for each robot while avoiding collisions. The focus is set on the operation of the end-effector and its connected joint, and the operation is projected onto a circular area on the plane. We propose to employ a time-space network (TSN) model that maps the robot location constraints into the route planning framework, leading to a mixed integer programming (MIP) problem. A dedicated genetic algorithm is proposed for solving this MIP problem and a new encoding scheme is designed to fit the TSN formulation. Simulation experiments indicate that the proposed model can obtain the collision-free route of the considered multirobot system. Simulation results also show that the proposed genetic algorithm can provide fast and high-quality solutions, compared to two state-of-the-art commercial solvers and a practical approach.

Original languageEnglish
Pages (from-to)6413-6422
JournalIEEE Transactions on Industrial Informatics
Volume16
Issue number10
DOIs
Publication statusPublished - 2020

    Research areas

  • Multi-robot systems, routing, time-space network model, collision avoidance

ID: 71826862