Jiaqing Li

Yanshan University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Jiaqing Li is a leading researcher in computer vision and robotics, with a primary focus on 6D pose estimation for object manipulation. Their most significant contribution is the development of the DOPE++ algorithm, a deep neural network-based approach that addresses the critical challenge of estimating the 3D position and orientation of weakly textured objects from RGB-D images. This work, published in 2022 with 5 citations, directly tackles the poor real-time performance and low recognition efficiency that plague robot grasping processes. By enabling more accurate and faster pose estimation for objects that lack distinctive visual features, Dr. Li’s research bridges a key gap between perception and physical interaction, advancing the capabilities of autonomous robotic systems in industrial and service applications. Their work is foundational for researchers and engineers seeking to improve the reliability of robotic manipulation in complex, real-world environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
DOPE++: 6D pose estimation algorithm for weakly textured objects based on deep neural networks
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Yanshan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago