Chun-Chen Lin
Papers
1
Total Citations
17
H-Index
1
About
Chun-Chen Lin is a robotics researcher whose work centers on trajectory planning and optimization for robot manipulators. His major contribution lies in developing a dual-optimization trajectory planning algorithm that integrates optimal path planning with optimal motion profile planning, using parametric curves to enhance efficiency and precision. A key innovation in this work is the virtual-knot interpolation method, which improves the smoothness and adaptability of robotic paths. This foundational paper has garnered 17 citations, reflecting its growing influence in the field of robotic motion control. Lin’s research addresses critical challenges in industrial automation and robotics, offering practical solutions for complex manipulator tasks. His achievements demonstrate a strong commitment to advancing autonomous systems, with potential applications in manufacturing, assembly, and collaborative robotics. For students and researchers exploring trajectory optimization, Lin’s work provides a valuable framework for balancing computational efficiency with real-world performance.
Research Focus
Key Achievements
Top Papers
- 1