Haoqiang Yu
Papers
1
Total Citations
15
H-Index
1
About
Haoqiang Yu is a researcher at the forefront of robotic perception and tactile sensing, with a focus on overcoming the limitations of vision-based manipulation. His key research areas include 3D dense reconstruction, vision-based tactile sensors, and coded marker technologies for precise shape perception. Yu’s major contribution lies in developing a novel approach for 3D dense reconstruction using vision-based tactile sensors embedded with coded markers, enabling robots to perceive accurate object shapes even under occlusion—a critical challenge in dexterous manipulation. His most-cited work, "3-D Dense Reconstruction of Vision-Based Tactile Sensor With Coded Markers" (2023, 15 citations), demonstrates a method that integrates tactile feedback with visual data, significantly enhancing robotic grasping and handling in cluttered or visually obstructed environments. This achievement underscores his impact on advancing sensor fusion and robotic autonomy. Yu’s work is notable for bridging the gap between tactile and visual perception, offering practical solutions for real-world robotic tasks. His research continues to inspire innovations in tactile sensing and manipulation, making him a promising figure in the field of robotics and computer vision.
Research Focus
Key Achievements
Top Papers
- 13-D Dense Reconstruction of Vision-Based Tactile Sensor With Coded Markers15 citations · 2023