Chin‐Wei Chang
Papers
1
Total Citations
4
H-Index
1
About
Chin-Wei Chang is a robotics researcher whose work centers on the optimal motion planning and dynamic control of industrial robotic systems, with a particular focus on SCARA robots. His major contribution lies in advancing time-optimal trajectory generation for these high-speed, high-precision robotic arms, which are essential in modern manufacturing. In his 2020 paper, "Implementation of Time-Optimal Motion Planning for SCARA Robots," Chang employed the Euler-Lagrange method to derive the dynamic model of the system, enabling more efficient and precise path planning. This work, which has garnered 4 citations, addresses a critical challenge in industrial robotics: balancing speed with accuracy to improve productivity. By developing motion strategies that minimize cycle times without compromising safety or precision, Chang’s research has practical implications for automation in assembly, pick-and-place, and other repetitive tasks. His contributions are particularly valuable for students and engineers seeking to understand the intersection of dynamics, control theory, and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Implementation of Time-Optimal Motion Planning for SCARA Robots4 citations · 2020