Xiangzhou Wang

Papers

Total Citations

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About

Xiangzhou Wang is a pioneering researcher in human-robot interaction (HRI), with a focus on developing alternative control interfaces for teleoperation. His work centers on making robotic systems accessible to a broader range of users, including those with physical disabilities. Wang’s major contributions lie in integrating non-conventional input methods—specifically gaze gestures and brain-computer interfaces (BCI)—to control mobile robots and drones. His most cited paper, "Human-Robot Interaction Based on Gaze Gestures for the Drone Teleoperation" (2014, 39 citations), demonstrates how eye movements can replace traditional joystick or keyboard controls. He further advanced this field with "Gaze tracking system for teleoperation" (14 citations), which specifically addresses accessibility for users with impaired hand function. Wang also explored neural control in "Mobile Robot Control by BCI Based on Motor Imagery" (12 citations), enabling users to command robots through thought alone. By combining gaze tracking with BCI technology, Wang has expanded the possibilities for assistive robotics and remote operation, laying groundwork for more intuitive, hands-free human-machine collaboration.