Heterogeneous Robot

Heterogeneous robot research focuses on designing and controlling teams of robots with diverse capabilities to achieve complex tasks beyond the reach of individual robots. Current research emphasizes decentralized control strategies, often leveraging large language models (LLMs) for task planning and coordination, and employing algorithms like distributed optimization and behavior trees to manage heterogeneous teams efficiently. This field is significant for advancing robotics capabilities in various domains, including manufacturing, search and rescue, and environmental monitoring, by enabling more robust, adaptable, and efficient automation solutions.