Won-Chol Yang
Papers
1
Total Citations
2
H-Index
1
About
Won-Chol Yang is a robotics researcher whose work centers on trajectory planning for industrial manipulators, with a particular focus on optimizing pick-and-place operations. His most cited paper, "An Approach for Elliptical Trajectory Planning with Vertical Straight Line Segments of Pick‐and‐Place Robot Operation with Height Clearance" (2023), addresses a critical challenge in automation: designing smooth, efficient paths when there is a height difference between picking and placing points. By combining elliptical arcs with vertical straight-line segments, Yang’s method reduces motion time and energy consumption while maintaining precision—a practical contribution to manufacturing and logistics robotics. Though early in his citation impact (2 citations), this work has been recognized for its novel integration of geometric path planning with real-world clearance constraints. Yang’s research bridges theoretical kinematics and applied robotics, offering engineers a systematic approach to improving cycle times in automated assembly lines. His focus on height-clearance scenarios fills a gap often overlooked in standard trajectory optimization, making his work valuable for both academic researchers and industry practitioners seeking to enhance robot efficiency in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1