Jiakai Lu

Chongqing University

Papers

1

Total Citations

2

H-Index

1

About

Jiakai Lu is a researcher focused on advancing the precision and reliability of industrial robotics, with a particular emphasis on kinematic calibration and sensor-based error correction. His most notable contribution is a novel calibration method that leverages a single Position Sensitive Device (PSD) to construct local line constraints, addressing the accuracy degradation that occurs in robots after prolonged use. This work, published in 2024, offers a practical, field-deployable solution for restoring robot performance without the need for complex external measurement systems. While still early in its citation impact, the approach represents a significant step toward cost-effective, high-precision calibration in manufacturing environments. Lu’s research bridges the gap between theoretical kinematics and real-world industrial application, making his work valuable for engineers and researchers seeking to maintain robotic accuracy over time. His contributions are particularly relevant for industries relying on long-term robotic operations, such as automotive assembly and precision machining.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Research on Robot Calibration Method Using Single PSD to Construct Local Line Constraint
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Chongqing University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago