Chao Ren

Tianjin University, Ritsumeikan University

Papers

39

Total Citations

817

H-Index

15

About

Chao Ren is a robotics and control systems researcher whose work spans mobile robotics, advanced control theory, and specialized robotic mechanisms. His research has made significant contributions across two primary domains: the design and control of omnidirectional mobile robots, and the development of wall-climbing robots utilizing passive suction cup technology. In the realm of mobile robotics control, Ren has pioneered practical approaches to disturbance rejection and friction compensation. His 2019 paper on extended state observer-based sliding mode control for omnidirectional robots has garnered over 230 citations, establishing him as a leading voice in robust motion control. He has further advanced data-driven methodologies, notably applying Koopman operator theory to wheeled mobile robot control, and developed model-free adaptive tracking for autonomous underwater vehicles. Ren's mechanical innovations are equally notable. His MY wheel-II omnidirectional mechanism and its associated dynamic modeling work laid important theoretical groundwork, while his systematic studies on passive suction cup behavior directly enabled the design of safer, more reliable wall-climbing robots. Collectively, his portfolio reflects a researcher who bridges rigorous theoretical control design with practical mechanical engineering, producing work cited hundreds of times and valued by both academic and applied robotics communities.

Research Focus

Key Achievements

15
H-Index
39
Papers
817
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Extended State Observer-Based Sliding Mode Control of an Omnidirectional Mobile Robot With Friction Compensation
231 citations · 2019
📈 Most Prolific Year: 2022 (8 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: Tianjin University, Ritsumeikan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago