Papers

2

Total Citations

75

H-Index

2

About

Pujun Bai is a leading researcher in precision robotics, specializing in the kinematic calibration and error modeling of high-speed parallel robots. His work focuses on enhancing the geometric accuracy of industrial manipulators, particularly Delta robots and four-degrees-of-freedom (4DOF) pick-and-place systems. Bai’s major contributions include developing comprehensive methodologies that classify source errors affecting pose accuracy—distinguishing between compensatable and uncompensatable errors—and integrating tolerance design with calibration processes. His highly cited paper, "Kinematic calibration of Delta robot using distance measurements" (40 citations), introduces a novel approach to error modeling and identification, while his work on "Tolerance Design and Kinematic Calibration of a Four-Degrees-of-Freedom Pick-and-Place Parallel Robot" (35 citations) presents a four-step framework for ensuring precision in articulated traveling plate mechanisms. Through these studies, Bai has advanced the practical deployment of parallel robots in high-speed automation, offering engineers robust tools to minimize geometric inaccuracies without costly redesigns. His research has garnered significant attention from the robotics community, with citations reflecting its impact on both academic theory and industrial application. Bai’s achievements underscore his role in bridging the gap between error analysis and real-world robot performance, making him a key figure in precision parallel robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
75
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Kinematic calibration of Delta robot using distance measurements
40 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tianjin University of Technology, Tianjin University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago