Papers
28
Total Citations
569
H-Index
13
About
Shaowei Cui is a robotics researcher whose work centers on tactile sensing, visual-tactile fusion perception, and dexterous robotic manipulation. He is perhaps best known for developing the GelStereo sensor family — a series of high-resolution visuotactile sensors leveraging stereo vision to achieve precise 3D contact geometry measurement. His 2021 paper introducing GelStereo has garnered over 103 citations, establishing it as a landmark contribution to vision-based tactile sensing. Cui has systematically advanced this platform through subsequent iterations, including GelStereo 2.0 and the curved GelStereo Palm, broadening its applicability across complex robotic tasks such as slip detection, object localization, and in-hand manipulation. Beyond hardware innovation, Cui has made significant strides in multimodal perception, pioneering self-attention-based and 3D convolution-based deep learning frameworks that fuse visual and tactile signals to predict grasp success and assess deformable object handling — work that has collectively attracted over 120 citations. His research also extends into neuromorphic engineering, with a notable 2022 study on flexible artificial reflex arcs using threshold-switching memristors. Additionally, his meta-learning contributions address robot skill adaptation under limited data conditions. With a consistently cited and diverse publication record, Cui represents a leading voice in intelligent robotic perception and manipulation research.
Research Focus
Key Achievements
Top Papers
- 1In-Hand Object Localization Using a Novel High-Resolution Visuotactile Sensor103 citations · 2021
- 2
- 3All‐Flexible Artificial Reflex Arc Based on Threshold‐Switching Memristor64 citations · 2022
- 4
- 5
- 6Self-Supervised Contact Geometry Learning by GelStereo Visuotactile Sensing32 citations · 2021
- 7GelStereo Palm: A Novel Curved Visuotactile Sensor for 3-D Geometry Sensing25 citations · 2023
- 8
- 9
- 10