Multi Agent Motion Planning

Multi-agent motion planning (MAMP) focuses on coordinating the movement of multiple agents, such as robots or autonomous vehicles, to achieve a common goal while avoiding collisions and adhering to dynamic constraints. Current research emphasizes developing efficient algorithms, often based on variations of search methods (like A*) or optimization techniques (e.g., mixed-integer linear programming), that incorporate realistic agent dynamics and handle complex, temporally-defined tasks specified using formal languages like Signal Temporal Logic (STL). These advancements are crucial for enabling safe and effective coordination in diverse applications, including autonomous driving, robotics, and multi-robot systems, by providing robust and scalable solutions to complex motion planning problems.