Abstract: World Journal of Sensors Network Research

Abstract:
This paper presents a multi-agent pathfinding system designed for industrial environments where multiple autono mous robots operate simultaneously. The system supports up to four robots and leverages the A* search algorithm to compute optimal, collision-free paths in a grid-based workspace. A key feature of the system is its ability to handle both static and dynamic obstacles, enabling real-time path re-computation when environmental changes occur. To further enhance operational efficiency, the tool includes a novel obstacle placement suggestion mechanism that strategically recommends obstacle positions to minimize the average path length across all agents. Implemented as an interactive React- based application, the tool provides a visual and intuitive simulation environment, making it a practical solution for optimizing robot coordination in factory settings. Experimental results demonstrate the sys tem's effectiveness in improving navigation efficiency while maintaining safe and adaptive multi- agent movement.