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Refuel Scheduling for Multirobot Charging-on-Demand

Tianshuang Gao, Yanfei Tian, Sourabh Bhattacharya

Year
2021
Citations
10

Abstract

In this paper, we consider the refuel scheduling problem for a team of ground robots deployed in "aislelike" environments wherein the robots are constrained to move along rows. In order to maintain a minimum service rate or throughput for the ground robots, we investigate the problem of scheduling a team of mobile charging stations deployed to replace the batteries on-board the ground robots without any interruption in their task. We propose two scheduling schemes for the mobile chargers to serve the ground robots for long-term service, and derive the parameters associated with the system required for persistent uninterrupted operation.

Keywords

RobotScheduling (production processes)Mobile robotComputer scienceReal-time computingEngineeringArtificial intelligence

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