Remote Manipulation

Remote manipulation focuses on controlling robotic systems from a distance, aiming to extend human capabilities to hazardous or inaccessible environments. Current research emphasizes improving the accuracy and robustness of teleoperation, particularly in addressing time delays and uncertainties inherent in long-distance control, often employing deep reinforcement learning algorithms like Soft Actor-Critic and adaptive control methods to compensate for these challenges. This field is crucial for advancing scientific exploration (e.g., deep-sea research) and enabling safe operation in demanding industrial settings (e.g., nuclear facilities), enhancing human-robot collaboration through shared autonomy and augmented reality interfaces.