Hao Zheng

Tianjin University

Papers

1

Total Citations

11

H-Index

1

About

Hao Zheng is a researcher specializing in robotics motion planning and computer-aided manufacturing, with a focused expertise in trajectory generation and smooth motion control for industrial robotic systems. His most recognized work, "NURBS Curve Interpolation Strategy for Smooth Motion of Industrial Robots" (2024), has already garnered 11 citations shortly after publication — a remarkable indicator of early impact within the robotics and manufacturing engineering community. In this contribution, Zheng addresses one of the persistent challenges in industrial automation: achieving fluid, precise, and computationally efficient motion along complex toolpaths. By leveraging Non-Uniform Rational B-Spline (NURBS) interpolation techniques, his research advances the accuracy and smoothness of robot end-effector trajectories, directly benefiting high-precision manufacturing applications such as CNC machining, welding, and assembly automation. Though early in his citation trajectory, the rapid uptake of his 2024 paper signals that his work is resonating strongly with both academic researchers and industrial practitioners. Students and engineers exploring advanced motion control strategies will find Zheng's contributions an important reference point in the evolving landscape of intelligent robotic manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
NURBS curve interpolation strategy for smooth motion of industrial robots
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Tianjin University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago