Teleoperation Framework

Teleoperation frameworks aim to enable intuitive and effective remote control of robots, addressing challenges in diverse applications from minimally invasive surgery to space exploration. Current research emphasizes improving control precision and intuitiveness through techniques like shared control incorporating AI-assisted guidance (e.g., using biomechanical models or deep reinforcement learning for trajectory planning), advanced haptic feedback, and immersive visualization methods (e.g., radiance fields and extended reality). These advancements are significantly impacting fields like healthcare, manufacturing, and space exploration by enabling safer, more efficient, and less physically demanding remote operations.