Papers

1

Total Citations

14

H-Index

1

About

Dr. Zejie Tan is a robotics researcher whose work centers on the calibration and optimization of wheeled mobile robot systems. His most notable contribution is the development of a novel algorithm for parameter calibration of wheeled robot mobile chassis, published in 2021. This work, which has garnered 14 citations, addresses a critical challenge in robotics: ensuring accurate kinematic and dynamic models through nonlinear optimization techniques. By improving the precision of chassis calibration, Dr. Tan's research directly enhances the performance and reliability of autonomous mobile robots in real-world applications, from industrial logistics to service robotics. His approach bridges theoretical optimization methods with practical robotic implementation, making his work valuable for both academic researchers and engineers developing robust mobile platforms. Dr. Tan's contributions are particularly relevant in the growing field of autonomous navigation, where precise parameter estimation is essential for safe and efficient operation. His ongoing research continues to push the boundaries of robot calibration methodologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A novel algorithm based on nonlinear optimization for parameters calibration of wheeled robot mobile chasses
14 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ministry of Education of the People's Republic of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago