About

Wanlin Li is pioneering the frontier of robotic touch and dexterous manipulation, with a focus on creating sensor-rich robotic hands that can grasp and interact with the world as adeptly as humans. Her research spans tactile sensing, soft robotics, and minimally invasive surgical tools, where she has made transformative contributions. Her 2025 work on embedding high-resolution touch across robotic hands (36 citations) addresses a fundamental challenge in robotics, enabling adaptive, human-like grasping in dynamic environments. Li’s impact is further evident in her development of a contact force sensor for flexible surgical manipulators (30 citations), which enhances safety in robot-assisted surgery. She also introduced Tac-Man (17 citations), a tactile-informed system that allows robots to manipulate articulated objects like doors without prior knowledge, and MiniTac (8 citations), an ultra-compact vision-based tactile sensor for enhanced tissue palpation during surgery. With over 130 total citations across her top papers, Li is recognized for integrating optoelectronic sensors into flexible robots, advancing both industrial automation and medical robotics. Her work not only pushes the boundaries of robotic perception but also promises to make robots more intuitive and capable in human-centric environments.

Research Focus

Key Achievements

7
H-Index
14
Papers
149
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
36 citations · 2025
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Beijing Academy of Artificial Intelligence, Queen Mary University of London, Texas A&M University, Shenyang Institute of Automation, Beijing Institute for General Artificial Intelligence, North China University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago