Robot Arm

Robot arm research focuses on enhancing dexterity, control, and adaptability for diverse applications. Current efforts concentrate on improving control algorithms (e.g., reinforcement learning, bilateral control with transformers), developing advanced grippers (combining rigid and soft elements), and creating more intuitive human-robot interfaces (including haptic feedback and shared autonomy). These advancements are driving progress in areas like assistive robotics, manufacturing (e.g., additive manufacturing), and human-robot collaboration, ultimately aiming to create more versatile and useful robotic systems.