Zhong Zheng Yuan

Dalian Jiaotong University

Papers

1

Total Citations

3

H-Index

1

About

Zhong Zheng Yuan is a robotics researcher focused on assistive technologies for aging populations, with particular expertise in dual-arm collaborative manipulation and garment handling. His most cited work, "Clothing gripping and sorting based on a dual-arm collaborative robot" (2023), addresses a pressing societal challenge: helping elderly individuals with physical limitations perform daily tasks like folding clothes. In this study, Yuan developed a dual-arm robot system using the Denavit–Hartenberg (D-H) method to establish joint change matrices, enabling precise coordination between robotic arms for gripping and sorting deformable garments. This contribution bridges the gap between industrial robotics and home-care applications, demonstrating how collaborative robots can adapt to unstructured environments and soft materials. While his citation count is still growing, Yuan's work represents an important step toward practical, human-centered robotics—combining kinematic modeling with real-world usability. His research holds promise for improving quality of life for the elderly, and his focus on dual-arm coordination offers a foundation for future developments in robotic assistance for activities of daily living.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Clothing gripping and sorting based on a dual-arm collaborative robot
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Dalian Jiaotong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago