Hong Yang

Chinese Academy of Sciences, University of Michigan–Ann Arbor, National University of Singapore

Papers

Total Citations

113

H-Index

About

Hong Yang is a robotics and autonomous systems researcher whose work spans human-robot interaction, mobile robot navigation, and unmanned aerial systems. Perhaps best known for developing a gesture-based remote human-robot interaction system using Microsoft Kinect (2013, 92 citations), Yang demonstrated how natural, demonstration-based interfaces could make teleoperation more intuitive and accessible — a contribution that helped shape the field of user-friendly robot control. This early work emphasized software reusability in networked robot systems, reflecting a pragmatic approach to scalable robotics design. Yang's contributions extend into autonomous navigation, including the DOUBLE-VFH obstacle avoidance algorithm tailored for large omnidirectional mobile platforms — addressing real-world deployment challenges that simpler point-robot models overlook. More recently, research into multi-camera coverage control of UAV swarms highlights an evolving focus on coordinated aerial robotics. Yang has also tackled fundamental challenges in visual SLAM perception through the CEMS evaluation framework (2024), providing the robotics community with structured tools to benchmark and address visual robustness in intelligent unmanned systems. Collectively, Yang's body of work reflects a sustained commitment to bridging theoretical robotics with practical, deployable autonomous systems across ground and aerial platforms.