Papers
1
Total Citations
31
H-Index
1
About
Genglin Fan is a leading researcher in soft robotics and tactile sensing, with a focus on advancing robotic manipulation for deformable objects. Their key research areas include soft gripper design, microfluidic tactile sensors, and intelligent object classification. Fan’s most notable contribution is the development of a soft gripper integrated with improved microfluidic tactile sensors, which addresses a critical gap in robotics: the inability of high-modulus sensors to effectively classify deformable objects. By incorporating an indenter layer into traditional microfluidic designs, Fan’s work enables precise tactile feedback and robust object recognition, a breakthrough for applications in manufacturing, healthcare, and agriculture. This highly cited paper (31 citations) has influenced subsequent research in soft robotics and sensor design. Fan’s achievements demonstrate a commitment to bridging hardware innovation with practical sensing solutions, making their work essential reading for students and researchers exploring the intersection of soft materials, tactile perception, and autonomous systems. Their contributions continue to shape the future of dexterous robotic handling.
Research Focus
Key Achievements
Top Papers
- 1