Tonghui Jiao

Shanghai Jiao Tong University

Papers

1

Total Citations

5

H-Index

1

About

Tonghui Jiao is a robotics researcher whose work focuses on advancing vision-based systems for robotic manipulation, particularly through innovative approaches to hand-eye calibration. His most cited paper, "A Simple and Generic Method for Real-time Accurate Hand-eye Calibration Using a 3D Vision Sensor" (2019, 5 citations), addresses a fundamental challenge in robotics: enabling robots to accurately perceive and interact with their environment using 3D vision sensors. Jiao developed a versatile calibration method applicable to both eye-to-hand and eye-in-hand configurations, offering a practical solution that balances simplicity, accuracy, and real-time performance. This contribution is critical as 3D vision sensors become increasingly prevalent in industrial and service robotics. While his citation count is modest, reflecting the specialized nature of his work, Jiao’s research fills an important gap by providing a generic, easy-to-implement framework that can be adopted across various robotic systems. His work demonstrates a commitment to solving practical, real-world problems in robotics, making it valuable for researchers and engineers seeking efficient calibration techniques for advanced vision-guided manipulation tasks.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Simple and Generic Method for Real-time Accurate Hand-eye Calibration Using a 3D Vision Sensor
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago