Multi Robot Collaboration

Multi-robot collaboration (MRC) focuses on designing and implementing systems where multiple robots work together to achieve a common goal, exceeding the capabilities of individual robots. Current research emphasizes improving task allocation strategies, particularly by incorporating trust models and adapting to dynamic environments and robot failures, often using distributed algorithms like Kalman filters and consensus-based approaches. Researchers are also exploring the use of large language models (LLMs) for high-level planning and communication in heterogeneous teams, as well as developing robust communication protocols for large-scale, decentralized collaborations. These advancements hold significant promise for improving efficiency and robustness in various applications, from warehouse automation and search and rescue to space exploration and scientific research.