Hongle Yan

Tianjin University

Papers

1

Total Citations

34

H-Index

1

About

Hongle Yan is a prominent researcher in robotics, specializing in the kinematics and dynamics of industrial manipulators, particularly painting robots. His work addresses critical challenges in robotic motion planning, with a focus on singularity analysis and treatment for complex serial mechanisms. Yan’s most-cited paper, "Singularity analysis and treatment for a 7R 6-DOF painting robot with non-spherical wrist" (2018), has garnered 34 citations, establishing a foundation for enhancing the dexterity and reliability of non-spherical wrist robots in automated painting applications. This contribution is vital for industries requiring precise, continuous-path motion, such as automotive manufacturing. Beyond this, Yan has advanced methodologies for singularity avoidance and workspace optimization, directly improving the practical deployment of high-DOF robots. His research bridges theoretical mechanics and industrial engineering, offering actionable solutions for reducing downtime and improving coating uniformity. Yan’s work is widely referenced by peers developing next-generation robotic arms, reflecting its impact on both academic robotics and applied manufacturing systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
34
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Singularity analysis and treatment for a 7R 6-DOF painting robot with non-spherical wrist
34 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Tianjin University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago