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Routing of a Multi-Robot System Using a Time-Space Network Model

Chuang Meng, Jianbin Xin, Jinzhu Peng, Rudy R. Negenborn

Year
2019
Citations
3

Abstract

In this paper, we study the collision-free routing of a multi-robot system to complete given tasks in the shortest time. In a robotic assembly unit, several stations work serially and in parallel. In a station, multiple robots share the same workspace and face the challenge of minimizing the cycle time and avoiding collisions at the same time. For this problem, we propose a new mathematical model that is the so-called time-space network (TSN) model. The TSN model can map the robot location constraints into the routing planning framework, leading to a mixed integer programming problem. By solving this mixed integer programming problem, the collision-free path of multiple robots can be determined. Finally, simulation results illustrate the proposed TSN model can obtain the collision-free route of the multi-robot system.

Keywords

RobotComputer scienceWorkspaceRouting (electronic design automation)Integer programmingMotion planningCollisionDistributed computingReal-time computingMathematical optimization

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