Search and Rescue

Search and rescue (SAR) research focuses on developing autonomous robotic systems and advanced algorithms to improve the efficiency and effectiveness of locating and rescuing individuals in hazardous environments. Current research emphasizes the integration of heterogeneous robot teams (e.g., aerial and ground robots), leveraging advanced planning algorithms like model predictive control and reinforcement learning, often incorporating large language models for human-robot interaction and improved decision-making. These advancements aim to enhance situational awareness, optimize resource allocation, and ultimately improve the speed and success rate of SAR operations, impacting both disaster response and broader robotics applications.