Zheng-Ting Lin
Papers
1
Total Citations
17
H-Index
1
About
Zheng-Ting Lin is a robotics researcher whose work centers on trajectory optimization and motion planning for robot manipulators. His most significant contribution is the development of a dual-optimization trajectory planning framework that integrates both optimal path planning and optimal motion profile planning using parametric curves. A key innovation in this work is the introduction of a virtual-knot interpolation method, which enhances the flexibility and efficiency of path generation. This approach allows for smoother, more precise robot motion, addressing critical challenges in industrial automation and robotic manipulation. With his 2020 paper garnering 17 citations, Lin’s research has already begun to influence subsequent studies in trajectory optimization. His work is particularly valuable for researchers and engineers seeking to improve the performance of robotic systems in tasks requiring high accuracy and energy efficiency. By combining mathematical rigor with practical application, Lin’s contributions help bridge the gap between theoretical path planning algorithms and real-world robotic control, making his research a useful reference for those advancing the field of robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1