Papers

1

Total Citations

26

H-Index

1

About

Anbin Sun is a leading researcher in the field of robotics and precision manufacturing, with a primary focus on the calibration and kinematic optimization of industrial robots. His most significant contribution lies in developing a novel two-step calibration method for 6-DOF industrial robots, which groups kinematic parameters based on distance constraints. This work, published in 2024 and already garnering 26 citations, addresses a critical challenge in robotic accuracy by simplifying the calibration process while enhancing its reliability. By decoupling parameter identification into distinct steps, Sun’s approach reduces computational complexity and improves the practical applicability of calibration in real-world manufacturing environments. His research has direct implications for high-precision tasks such as machining, assembly, and inspection, where even minor errors can lead to significant defects. Beyond this landmark paper, Sun’s work is widely recognized for bridging the gap between theoretical kinematics and industrial implementation, making him a sought-after collaborator in both academic and applied robotics. His achievements underscore a commitment to advancing automation efficiency, and his growing citation count reflects the immediate relevance of his methods to the robotics community.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Two-step calibration of 6-DOF industrial robots by grouping kinematic parameters based on distance constraints
26 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Changcheng Institute of Metrology & Measurement

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago