Neighboring Robot

Neighboring robot research focuses on enabling multiple robots to collaboratively achieve tasks by leveraging information and coordination among nearby agents. Current efforts concentrate on developing decentralized control strategies using graph neural networks and permutation-invariant neural networks to handle varying numbers of robots and dynamically changing environments, often incorporating communication protocols to share information efficiently despite communication delays or limitations. This field is crucial for advancing multi-robot systems in diverse applications, such as collaborative exploration, object manipulation, and swarm robotics, by improving efficiency, robustness, and scalability.