Bilateral Teleoperation

Bilateral teleoperation aims to enable intuitive human control of robots at a distance, providing force feedback to the operator for enhanced dexterity and situational awareness. Current research focuses on improving control interfaces, particularly for complex robots like mobile manipulators and humanoids, often employing reinforcement learning to streamline control and generate training data. This field is significant for expanding the capabilities of robots in hazardous or remote environments, with applications ranging from manufacturing and construction to search and rescue operations. Furthermore, research addresses crucial cybersecurity vulnerabilities and explores shared autonomy approaches to overcome limitations in human performance during complex multi-robot tasks.