Jishi Zheng

Fujian University of Technology

Papers

1

Total Citations

3

H-Index

1

About

Jishi Zheng is a researcher whose work sits at the intersection of precision metrology, intelligent manufacturing, and automotive optical systems. Their most notable contribution is a pioneering study on a flexible calibration method for passenger car Head-Up Display (HUD) detection using collaborative robots. This work directly addresses a critical industrial bottleneck: the rigidity and space inefficiency of traditional physical calibration frames, which struggle to accommodate the mixed-model production lines common in modern automotive plants. By integrating collaborative robotics, Zheng’s method offers a highly adaptable, space-saving solution that enhances calibration accuracy and production flexibility. Although early in its citation lifecycle (3 citations since 2024), this research has already demonstrated significant practical value for whole-vehicle enterprises seeking to modernize their quality assurance processes. Zheng’s work is characterized by a strong applied focus, bridging the gap between theoretical robotics and real-world manufacturing constraints. Their research holds promise for broader adoption in automated optical inspection and human-machine interface testing, marking them as an emerging voice in the field of industrial robotics and automotive electronics validation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Flexible Calibration Method and Application of Passenger Car HUD Detection Based on Collaborative Robot
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Fujian University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago