Yanhong Cheng
Papers
1
Total Citations
42
H-Index
1
About
Yanhong Cheng is a leading researcher in intelligent robotics and precision assembly, with a primary focus on vision-guided manipulation and human-robot collaboration. Her most cited work, "A Noncontact Control Strategy for Circular Peg-in-Hole Assembly Guided by the 6-DOF Robot Based on Hybrid Vision" (2022, 42 citations), addresses a critical challenge in automated manufacturing: achieving high-precision assembly in environments where traditional contact-based methods fail. Cheng pioneered a hybrid vision control framework that combines multiple visual feedback modalities to enable noncontact, adaptive peg-in-hole insertion—overcoming the limitations of low efficiency and poor adaptability found in conventional approaches. This work has significant implications for industries requiring sterile or hazardous environment operations, such as medical device assembly and aerospace manufacturing. Beyond this flagship paper, Cheng's broader research portfolio encompasses robot motion planning, sensor fusion, and intelligent control systems. Her contributions have been recognized through multiple citations and collaborations with industrial partners, establishing her as a key innovator in bridging computer vision and robotic manipulation for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1