Realization of Motion Planning Generation for Agent-based System in Dynamic Environment
In these days, the troubles in overpopulation seem to be an urgent message. Like human, robots exist in real-world not only one but also a group of them. The control of multi-robots becomes a key factor to actuate the whole system which scheduling period must be taken place initially. In this paper, a modified scheduler scheme to manage mobile robots is proposed simultaneously. The planner algorithm dynamically generates to update global states whenever robot tracks the reference trajectory. Moreover, the traveling distance could be chosen better in concerning with the movement of other robots. To verify the proposed method, a multi-agent system was built in hardware model. The physical experiments proved that our approach is valuable, feasible and extendible in large scale system of logistics, manufacturing and factory automation.