About

Chongchong Wang is a robotics researcher whose work centers on force control, compliant interaction, and the kinematic design of robotic systems for manufacturing and human-robot collaboration. Wang’s most influential contributions address the challenge of achieving stable, high-quality contact during robotic polishing. Their 2021 paper on suppressing vibration through impedance matching (23 citations) and a 2022 study on sensor-based force decoupling for macro–mini manipulators (25 citations) have provided foundational methods for installing force-controlled end-effectors on industrial robots, directly improving polishing quality. Wang has also advanced the field of modular reconfigurable robots, developing a graph-theoretic approach for kinematic modeling that enables rapid reconfiguration for diverse tasks (11 citations). In collaborative robotics, Wang’s 2021 review of compliant control (9 citations) and a 2022 system using fuzzy variable admittance control to estimate human intention (4 citations) have shaped safer, more intuitive physical human-robot interaction. Additional work includes energy-efficient torque distribution for omnidirectional mobile robots and novel quartz-crystal-based torque sensors. With over 100 total citations across these key areas, Wang’s research is driving progress in force-sensitive automation and adaptive robotic systems.

Research Focus

Key Achievements

6
H-Index
15
Papers
107
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Sensor-based force decouple controller design of macro–mini manipulator
25 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: University of Nottingham Ningbo China, Chinese Academy of Sciences, Ningbo Institute of Industrial Technology, Robotic Technology (United States), Intelligent Health (United Kingdom), University of Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago