Haptic Teleoperation

Haptic teleoperation aims to enable remote control of robots by providing the operator with realistic force feedback, enhancing dexterity and safety in complex tasks. Current research emphasizes improving the realism and responsiveness of haptic interfaces, often employing machine learning techniques like imitation learning and model predictive control to learn compliant control strategies from demonstrations or optimize robot behavior for smooth, safe interaction. This field is crucial for advancing applications in diverse areas such as space exploration, nuclear decommissioning, and minimally invasive surgery, where remote manipulation is essential and human safety is paramount.