Haowei Zheng
Papers
1
Total Citations
4
H-Index
1
About
Haowei Zheng is a rising researcher at the intersection of machine vision, tactile sensing, and human-machine interaction. Their work centers on enabling intelligent robots to perceive and communicate surface properties—such as roughness and texture—through visual data, bridging the gap between sight and touch. Zheng’s most-cited paper, “Object surface roughness/texture recognition using machine vision enables for human-machine haptic interaction” (2024), tackles a fundamental challenge: while tactile feedback improves robot controllability and object discrimination, recognizing fine surface features remains difficult. By developing a machine vision approach to classify surface textures, Zheng’s work paves the way for more intuitive, responsive haptic interfaces in robotics and prosthetics. Though early in their career, with 4 citations on this key work, Zheng’s contributions are gaining attention for their potential to enhance how humans and machines share sensory information. Their research promises to advance assistive technologies, teleoperation, and immersive virtual environments—making robots not just stronger, but more perceptive partners.
Research Focus
Key Achievements
Top Papers
- 1