Papers
32
Total Citations
507
H-Index
13
About
Bingwei He is a prolific robotics and control systems researcher whose work spans unmanned aerial systems, robot motion planning, digital twin technologies, and flexible sensing devices. His most recognized contribution lies in advancing control methodologies for unmanned aerial manipulator systems (UAMS), where he developed low-complexity prescribed performance controllers capable of handling model uncertainty and external disturbances — work that has garnered over 76 citations and represents a meaningful step toward robust autonomous aerial manipulation. He has equally distinguished himself in robot motion planning, contributing the ST-FMT* algorithm for fast optimal mobile robot navigation and multi-robot map exploration frameworks using rapidly-exploring random trees, collectively accumulating over 95 citations. His forays into digital twin-based manufacturing systems have positioned him at the intersection of robotics and smart manufacturing, with simulation and monitoring tools for milling robots gaining strong traction. Notably, He has also ventured into flexible electronics, developing strain and temperature sensors for human-machine interaction and gesture recognition. His broader portfolio, spanning healthcare robotics, dexterous grasping, and transfer learning-based process monitoring, reflects a versatile and impact-driven research vision with a cumulative citation count exceeding 350.
Research Focus
Key Achievements
Top Papers
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- 5Robust Control for Unmanned Aerial Manipulator Under Disturbances31 citations · 2020
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- 7ST-FMT*: A Fast Optimal Global Motion Planning for Mobile Robot25 citations · 2021
- 8A Flexible Temperature Sensor for Noncontact Human-Machine Interaction18 citations · 2021
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