Ning Xuetao
Papers
1
Total Citations
2
H-Index
1
About
Ning Xuetao is a robotics researcher whose work centers on the kinematics and motion control of high-speed industrial manipulators, with a particular focus on Delta robots. His most-cited paper, "Joint Space Trajectory Planning of Python-Based Delta Robot" (2015), addresses a critical challenge in automation: designing trajectories that satisfy both kinematic constraints and dynamic performance limits under fixed drive conditions. By developing Python-based planning algorithms that optimize joint-space paths, Ning has contributed to making Delta robots more efficient for pick-and-place and assembly tasks. While his citation count is still growing, his research lays essential groundwork for balancing speed, precision, and mechanical feasibility in parallel robots. Ning’s work is especially relevant for students and engineers seeking to understand the practical integration of trajectory optimization with real-world robotic hardware, offering a bridge between theoretical motion planning and applied mechatronics.
Research Focus
Key Achievements
Top Papers
- 1Joint Space Trajectory Planning of Python - Based Delta Robot2 citations · 2015