Linxin Bai

Fudan University

Papers

1

Total Citations

1

H-Index

1

About

Linxin Bai is a rising researcher in the intersection of robotics and computer vision, with a primary focus on advancing tactile perception for dexterous manipulation. Bai’s most notable contribution is the development of a visual sensing approach for high-precision pressure estimation in robotic manipulation, a 2025 paper that has already garnered early citations. This work introduces a novel method that leverages visual data to infer contact forces with remarkable accuracy, enabling robots to handle delicate objects with unprecedented sensitivity. By replacing traditional, often bulky force sensors with a camera-based system, Bai’s research promises to make robotic grippers more adaptable and cost-effective for applications ranging from surgical assistance to industrial assembly. Though early in their career, Bai’s innovative fusion of visual and tactile sensing is poised to influence the next generation of soft robotics and human-robot interaction. Their work stands out for its potential to bridge the gap between human-like touch and robotic precision, marking Bai as a promising voice in the field of embodied AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Visual sensing approach for high-precision pressure estimation in robotic manipulation
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago