Bingkui Chen

Chongqing University

Papers

5

Total Citations

126

H-Index

5

About

Bingkui Chen is a leading researcher in advanced mechanical transmission systems and human–robot interaction, whose work bridges the gap between precision engineering and intelligent control. His primary research areas include worm drive design, backlash-free transmission mechanisms, and shared control for teleoperated hydraulic manipulators. Chen’s most impactful contribution is his 2022 paper on human–robot shared control using locally weighted intent prediction, which has garnered 63 citations and addresses critical challenges in operational safety and efficiency for heavy-duty manipulators used in rescue and underwater missions. He has also made significant strides in gear meshing performance, with multiple highly cited studies on novel point-contact hourglass worm drives and end-face roller enveloping cylindrical worm drives that enable backlash-adjustable and non-backlash configurations—key innovations for modern machine tools and industrial robots. His work on precision measurement methods for roller enveloping hourglass worm tooth surfaces further underscores his commitment to high-accuracy manufacturing. With a consistent record of advancing both theoretical understanding and practical applications, Chen’s research continues to shape the future of robotic manipulation and precision transmission technology.

Research Focus

Key Achievements

5
H-Index
5
Papers
126
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Human–Robot Shared Control Based on Locally Weighted Intent Prediction for a Teleoperated Hydraulic Manipulator System
63 citations · 2022
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Chongqing University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago