Rescue Robot

Rescue robots are being developed to assist in disaster response and search-and-rescue operations, primarily focusing on improving autonomous navigation and manipulation in hazardous environments. Current research emphasizes advancements in robust control algorithms, such as model predictive control and fuzzy logic, integrated with bio-inspired neural networks for efficient path planning and collision avoidance in complex, dynamic scenarios. These improvements, coupled with high-fidelity simulations for testing grasping and manipulation capabilities, aim to enhance the effectiveness and safety of robot-assisted rescue missions, ultimately saving lives and reducing risks to human responders.