Multi Robot Coverage Path Planning

Multi-robot coverage path planning (MCPP) focuses on efficiently coordinating multiple robots to systematically explore and cover a given area, minimizing overall completion time. Current research emphasizes developing scalable algorithms, including those based on mixed-integer programming, local search heuristics, and improved versions of existing approaches like the A* and spanning tree coverage algorithms, to address the computational challenges posed by large-scale environments and numerous robots. These advancements aim to improve the speed and efficiency of coverage, with applications ranging from search and rescue operations to environmental monitoring and industrial automation. The development of both centralized and decentralized planning methods is a key focus, balancing computational efficiency with robustness and adaptability to dynamic environments.