Papers

3

Total Citations

16

H-Index

3

About

Chen He’s research centers on advanced control theory and robotics, with a particular focus on robust and adaptive control strategies for nonlinear systems and human-robot interaction. His major contributions include the development of an adaptive robust admittance control framework for robots, which intelligently selects impedance parameters using a duality principle to enhance performance during physical interaction with uncertain environments. This work, published in 2022, has already garnered 8 citations, reflecting its growing relevance in the field of robot-environment dynamics. He is also recognized for pioneering modified sliding mode controllers for nonlinear multi-input systems, introducing the concept of “sliding sectors” as an alternative to traditional sliding surfaces. This innovation, detailed in his 1997 and 2002 papers (with 5 and 3 citations respectively), enables continuous switching control, reducing chattering while maintaining robustness—a significant advancement in nonlinear control design. Chen He’s work bridges theoretical rigor and practical application, offering solutions that improve the safety and adaptability of robotic systems. His research is particularly valuable for students and engineers working on autonomous manipulation, haptics, and industrial automation, where precise and stable interaction with unpredictable environments is critical.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Robust Admittance Control of Robots Using Duality Principle-Based Impedance Selection
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Shanghai for Science and Technology, National University of Singapore

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago