White Bai
Papers
1
Total Citations
6
H-Index
1
About
White Bai is a researcher focused on advancing industrial robotics through precision sensor integration, with particular expertise in hand-eye calibration for line structured light vision systems. His most-cited work, "A novel hand-eye calibration method for industrial robot and line laser vision sensor" (2023, 6 citations), addresses a critical challenge in robotic automation: enabling accurate data transfer between vision sensors and robot systems. Bai's research provides a systematic approach to solving the hand-eye calibration problem, which is essential for tasks like welding, inspection, and assembly where line laser sensors guide robotic movements. By developing novel calibration methodologies, he has contributed to improving the reliability and accuracy of sensor-guided robots in manufacturing environments. His work bridges the gap between theoretical calibration models and practical industrial applications, offering design and methodology insights that help engineers implement more effective vision-guided robotic systems. Bai's contributions are particularly valuable for researchers and practitioners working on sensor integration, robotic perception, and automation quality control, where precise alignment between sensor data and robot coordinates is critical for operational success.
Research Focus
Key Achievements
Top Papers
- 1