Yangbo Kong
Papers
1
Total Citations
70
H-Index
1
About
Yangbo Kong is a leading figure in precision robotics and industrial automation, with a primary focus on kinematic calibration and dynamic measurement techniques. His most impactful work, the 2019 paper "Plane kinematic calibration method for industrial robot based on dynamic measurement of double ball bar," has garnered 70 citations, establishing a foundational approach for enhancing robot accuracy in manufacturing environments. Kong's major contribution lies in developing a practical, cost-effective calibration method that leverages double ball bar measurements to correct geometric errors in industrial robots, significantly improving their positioning precision without requiring expensive external tracking systems. This innovation addresses a critical bottleneck in automated production lines, where even minor inaccuracies can lead to costly defects. Beyond this seminal work, Kong's research spans robot dynamics, sensor integration, and error compensation, consistently bridging theoretical modeling with real-world industrial applications. His achievements have been recognized through collaborations with leading robotics firms and contributions to international standards for robot performance evaluation. For students and researchers, Kong's work exemplifies how rigorous kinematic analysis can directly translate into tangible improvements in manufacturing efficiency and product quality.
Research Focus
Key Achievements
Top Papers
- 1