Papers
7
Total Citations
172
H-Index
6
About
Dr. Yong Pan is a leading researcher at the intersection of robotics, augmented reality (AR), and intelligent manufacturing. His work focuses on developing intuitive human-robot interaction systems, with key contributions in AR-based robot teleoperation and skill learning. Dr. Pan’s most influential work, the "Augmented reality-based robot teleoperation system using RGB-D imaging and attitude teaching device" (2021, 58 citations), pioneered a novel interface that allows operators to control robots through natural hand gestures and visual overlays. He further advanced this field with a virtual-physical collision detection interface for interactive robot teaching (2020, 49 citations). A major contribution is his development of active compliance control for peg-in-hole assembly using combined reinforcement learning (2023, 21 citations), which significantly improves robotic precision in complex tasks. His recent research integrates deep reinforcement learning for autonomous grasping and assembly (2024, 13 citations), and vision-based object recognition for robotic assembly (2024, 8 citations). With over 170 total citations, Dr. Pan’s work is shaping the future of collaborative robotics, making industrial robots more accessible, safer, and capable of learning complex assembly skills through intuitive human guidance.
Research Focus
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Top Papers
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