Confined Space

Confined space robotics focuses on developing robots capable of navigating and manipulating objects within severely restricted environments, addressing challenges in areas like warehouse automation, search and rescue, and underwater exploration. Current research emphasizes innovative robot designs, such as vine-like and toroidal robots for enhanced maneuverability, and advanced control algorithms including reinforcement learning, adaptive sliding mode control, and neural network-based planning for efficient task execution in cluttered spaces. These advancements are crucial for improving efficiency and safety in various applications, particularly in hazardous or inaccessible locations where human intervention is difficult or impossible.