Path Formation

Path formation research focuses on enabling multiple agents, such as robots or vehicles, to efficiently navigate and coordinate their movements to achieve a common goal, often in complex or unknown environments. Current research emphasizes decentralized approaches, utilizing subgoal-based methods and game-theoretic models like Markov Decision Processes to address challenges such as congestion and efficient task allocation. These advancements are crucial for improving the scalability and robustness of multi-agent systems in applications ranging from swarm robotics to autonomous warehouse management and traffic optimization.