Remote Human Operator

Remote human operation involves controlling systems or robots from a distance, aiming to extend human capabilities and reach into inaccessible or hazardous environments. Current research emphasizes improving the efficiency and safety of remote control through advanced interfaces (e.g., virtual reality, haptic feedback), refined control algorithms (e.g., admittance control, reinforcement learning), and efficient data compression techniques (e.g., deep generative models) to handle the large data streams involved. This field is crucial for diverse applications, including surgery, construction, deep-sea exploration, and the increasingly important area of remote assistance for autonomous vehicles, improving both safety and efficiency in these domains.