Papers

3

Total Citations

11

H-Index

2

About

He Lyu is an emerging robotics researcher whose work focuses on trajectory optimization, tool path planning, and redundancy resolution for industrial robot manipulators. His research addresses fundamental challenges in making robotic systems more efficient and practically deployable in manufacturing contexts such as welding, cutting, grinding, and spraying. Lyu's most notable contribution, "Time-optimal and energy-efficient trajectory generation for robot manipulator with kinematic constraints" (2017), demonstrates his ability to bridge theoretical optimization with real-world applicability, transforming complex trajectory planning into tractable nonlinear optimization problems using cubic spline parameterization. Complementing this, his work on tool path interpolation employs B-spline techniques to minimize energy consumption while managing 1-DoF redundancy — a common challenge in industrial automation. His 2018 work on automatic tool path planning further extends this expertise by leveraging 3D model feature extraction to enable intelligent orientation planning through a robot's redundant axis. With a cumulative citation count across his early publications, Lyu represents a researcher in the growth phase of his career, establishing a coherent body of work at the intersection of computational geometry, kinematics, and energy-aware motion planning. Students interested in industrial robotics and optimization-based motion planning will find his methodological contributions particularly instructive.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Time-optimal and energy-efficient trajectory generation for robot manipulator with kinematic constraints
6 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Hong Kong University of Science and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago