Papers
7
Total Citations
725
H-Index
7
About
Youcan Yan is a leading researcher in tactile sensing and soft robotics, whose work is fundamentally advancing how robots perceive and interact with the physical world. His primary research areas include bio-inspired tactile sensors, super-resolution touch perception, and robotic haptic feedback for medical applications. Yan’s most impactful contribution is the development of a **soft magnetic skin** that achieves super-resolution tactile sensing with force self-decoupling—a breakthrough that allows robots to detect both normal and shear forces with a resolution finer than the spacing of individual sensing elements. This work, published in 2021, has garnered over **522 citations**, underscoring its transformative influence on the field. He has also pioneered deep learning-enhanced tactile systems for surface texture recognition and autonomous robotic palpation for tumor detection in minimally invasive surgery. Yan’s notable achievements include creating a tactile super-resolution model that reduces sensor density without sacrificing spatial accuracy, and a visuo-tactile system for real-time liquid volume estimation during grasping. His research bridges the gap between human-like tactile capabilities and robotic dexterity, with high-impact publications in top venues and growing citation counts that reflect his role as a key innovator in soft haptics and intelligent sensing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Surface Texture Recognition by Deep Learning‐Enhanced Tactile Sensing55 citations · 2021
- 3A soft skin with self-decoupled three-axis force-sensing taxels53 citations · 2024
- 4
- 5Tactile Super-Resolution Model for Soft Magnetic Skin29 citations · 2022
- 6Visual-tactile Sensing for Real-time Liquid Volume Estimation in Grasping10 citations · 2022
- 7Polymer-Based Self-Calibrated Optical Fiber Tactile Sensor8 citations · 2023