Multi Robot System

Multi-robot systems (MRS) research focuses on designing and controlling groups of robots to collaboratively achieve tasks beyond the capabilities of individual robots. Current research emphasizes developing robust and efficient algorithms for coordination, communication, and task allocation, often employing techniques like graph neural networks, reinforcement learning (including Deep Q-Networks and Actor-Critic methods), and optimization methods such as the Alternating Direction Method of Multipliers. These advancements are crucial for addressing challenges in diverse applications, including warehouse automation, search and rescue, environmental monitoring, and space exploration, improving efficiency, scalability, and resilience in complex and dynamic environments.