An algorithm improving work efficiency for operation of a large number of human collaborative logistics robots

Abstract

Due to growing needs for labor-saving, many logistics support robots for transportation are expected to coexist and collaborate with workers in future logistics sites. Those robots should be introduced while avoiding the decrease of transfer throughput due to interference between humans and robots or among robots. In addition, flexibility is required to respond to the ever-changing on-site environment and work progress. In this paper, we propose an algorithm that reduces the interference caused by those logistics support robots that perform tasks based on autonomous control. The proposed algorithm was validated using a simulator and showed results that reduced interference and improved transport efficiency.