Delong Huang
Papers
1
Total Citations
5
H-Index
1
About
Delong Huang is a researcher focused on advancing robotic manipulation and intelligent automation, with a particular emphasis on trajectory planning and control for industrial manipulators. His major contributions lie in developing novel methods to enhance precision and efficiency in automated welding and assembly tasks, notably through the integration of computer vision and optimization algorithms. His most-cited work, "Manipulator Trajectory Planning Based on Clustering Curve Discretization and B‑Spline" (2024, 5 citations), introduces a clustering-based discretization technique combined with B‑spline interpolation to improve welding trajectory accuracy under visual guidance, addressing critical challenges in real-world robotic applications. This work demonstrates his ability to bridge theoretical modeling with practical deployment, offering tangible improvements in manufacturing quality. Huang’s research is characterized by a strong focus on kinematic modeling, path smoothing, and sensor-guided control, positioning him as an emerging voice in the field of robotic automation. His contributions are particularly relevant for students and engineers seeking to understand how advanced trajectory planning can enhance the performance of six-axis robots in complex, vision-guided environments.
Research Focus
Key Achievements
Top Papers
- 1