Yuanhao Chen
Papers
1
Total Citations
9
H-Index
1
About
Yuanhao Chen is a researcher working at the intersection of computer vision and industrial automation, with a particular focus on robotic perception and object pose estimation. His most recognized contribution, "Pose Estimation for Workpieces in Complex Stacking Industrial Scene Based on RGB Images" (2021), addresses one of the persistent challenges in modern manufacturing: accurately determining the position and orientation of industrial parts in cluttered, real-world environments using standard RGB cameras. This work is notable for its practical applicability, moving beyond controlled laboratory settings to tackle the messy realities of factory floors where workpieces are randomly stacked and occluded. With 9 citations, the research has drawn interest from the robotics and industrial automation communities, reflecting growing demand for intelligent, vision-based grasping and manipulation systems. Chen's work contributes to the broader effort of enabling robots to perceive and interact with unstructured environments more reliably, a critical step toward fully automated manufacturing pipelines. His research represents a meaningful bridge between deep learning-based computer vision techniques and their deployment in real industrial applications.
Research Focus
Key Achievements
Top Papers
- 1