Papers

7

Total Citations

152

H-Index

5

About

Jingchen Li is a pioneering robotics researcher whose work bridges the gap between human-like perception and agile robotic locomotion. His research focuses on three key areas: bio-inspired tactile sensing systems, multimodal robot locomotion, and anthropomorphic manipulation. Li’s most impactful contribution is his development of ultralight multifunctional nano-layered carbon aerogel sensors that enable robots with human-like tactile perception—a breakthrough work that has garnered 81 citations since 2023. This innovation allows robots to identify objects through touch, even under limited visual conditions. In parallel, Li led the design of Max, a wheeled-legged quadruped robot that combines fast, energy-efficient wheeled mobility with legged agility, earning 34 citations. His work on lightweight design optimization for bipedal humanoid robot legs (23 citations) and the TRX-Hand5 anthropomorphic hand with integrated tactile feedback further demonstrates his commitment to creating robots that can operate seamlessly in human environments. Li’s integrated optimization approach for service robotic arms and robust control frameworks for human-walking assistance round out a portfolio that advances both the mechanical intelligence and physical interaction capabilities of next-generation robots.

Research Focus

Key Achievements

5
H-Index
7
Papers
152
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Recognition Using Ultralight Multifunctional Nano-Layered Carbon Aerogel Sensors with Human-Like Tactile Perception
81 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: Tencent (China), Shenzhen Academy of Robotics, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago