Xiangdong Han

Papers

1

Total Citations

18

H-Index

1

About

Xiangdong Han is a leading researcher in robotics and advanced manufacturing, specializing in real-time trajectory planning and high-precision motion control. His work addresses the critical challenge of enabling robots to machine complex curved workpieces with both speed and accuracy. Han’s major contribution is the development of a novel look-ahead trajectory planning methodology for multi-small-line-segments paths, which overcomes the inefficiencies of conventional methods that require frequent starts and stops at each dispersed point. This innovation, detailed in his highly cited 2023 paper (18 citations), allows for smoother, continuous motion, significantly enhancing machining efficiency and surface quality. By optimizing the transition between path segments, Han’s approach reduces cycle times and improves path accuracy, directly impacting industrial automation and CNC machining. His research is pivotal for applications requiring high-speed, high-precision robotic operations, from aerospace component fabrication to intricate mold making. Han’s work continues to shape the future of intelligent manufacturing, offering practical solutions that bridge the gap between theoretical control algorithms and real-world robotic performance.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
A Real-time Look-ahead Trajectory Planning Methodology for Multi Small Line Segments Path
18 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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