Zehui Wang

Papers

1

Total Citations

4

H-Index

1

About

Zehui Wang is a researcher focused on the intersection of computer vision and robotic manipulation, with a particular emphasis on the challenging domain of deformable objects. Her work addresses the critical need for autonomous control in applications ranging from surgical robotics to food processing, where materials change shape and topology during operation. Her most cited paper, "Vision-based cutting control of deformable objects" (2016, 4 citations), tackles this complexity head-on, proposing a framework that uses visual feedback to guide cutting actions in real-time. This contribution is notable for its practical approach to a problem that has long resisted automation due to the unpredictable physical properties of soft materials. Wang's research helps bridge the gap between rigid-object manipulation and the nuanced, adaptive control required for real-world tasks, laying groundwork for safer, more efficient robotic systems in delicate environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based cutting control of deformable objects
4 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago