Yongbin Zheng

Chinese University of Hong Kong, Shenzhen

Papers

1

Total Citations

2

H-Index

1

About

Dr. Yongbin Zheng is a leading researcher in robotic micromanipulation and computer vision, with a focus on advancing three-dimensional perception at the microscale. His work addresses the critical challenge of depth acquisition in environments where conventional sensors like lidar are impractical. Dr. Zheng’s most notable contribution is the development of weakly-supervised depth completion methods from monocular microscopic images, enabling precise z-axis depth estimation without the need for expensive or unavailable depth sensors. This innovation, detailed in his 2024 paper, has already garnered attention with 2 citations, marking its early impact in the field. By leveraging techniques such as depth from focus and depth from defocus, Dr. Zheng has pioneered approaches that enhance the autonomy and precision of robotic systems in micromanipulation tasks. His research bridges the gap between visual perception and robotic control, offering practical solutions for applications in biomedical engineering and microassembly. Dr. Zheng’s work continues to inspire advancements in weakly-supervised learning and depth estimation, positioning him as a key figure in the evolution of intelligent microrobotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Weakly-Supervised Depth Completion during Robotic Micromanipulation from a Monocular Microscopic Image
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Chinese University of Hong Kong, Shenzhen

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago