Teleoperation Mode

Teleoperation mode involves remotely controlling robots, aiming to extend human capabilities to distant or hazardous environments. Current research emphasizes improving the intuitiveness and efficiency of this control, focusing on methods like predictive XR interfaces to reduce latency, reinforcement learning to automate base motions while allowing precise end-effector control, and shared autonomy systems that blend human input with autonomous robot actions. These advancements are crucial for expanding the practical applications of robotics in fields such as healthcare, industrial automation, and disaster response, while also addressing critical cybersecurity vulnerabilities inherent in remote control systems.