Hongyuan Chen

Shanghai Jiao Tong University

Papers

2

Total Citations

19

H-Index

2

About

Hongyuan Chen is a rising leader in intelligent robotics and human–machine interaction, with research centered on bioinspired sensing and adaptive control systems. Chen’s most cited work introduces a dual-responsive artificial skin that uses coplanar square-loop electrodes to detect both proximity and pressure, enabling continuous, multimodal perception for next-generation robots. This innovation, published in 2023, has already garnered 11 citations, reflecting its significance for advancing seamless human–robot collaboration. In a complementary 2024 study, Chen developed a variable admittance control method that interprets both direct force and velocity-curvature patterns to infer user intentions—whether for rapid or precise motion—enhancing the intuitiveness of physical interaction. With 8 citations in under a year, this work underscores Chen’s ability to bridge hardware and software for safer, more responsive robotic systems. By integrating tactile sensing with adaptive control, Chen is shaping the future of assistive and collaborative robots, making strides toward truly intuitive human–machine partnerships.

Research Focus

Key Achievements

2
H-Index
2
Papers
19
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
High-Performance Dual-Responsive Sensing Skin Enabled by Bioinspired Transduction of Coplanar Square-Loop Electrodes
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago