Kwan Sik Jang
Papers
1
Total Citations
2
H-Index
1
About
Kwan Sik Jang is a robotics researcher whose work focuses on advancing trajectory planning for industrial automation, particularly in pick-and-place operations. His key research area lies in optimizing robotic motion to handle complex spatial constraints, such as varying height clearances between picking and placing points. Jang’s major contribution is the development of an elliptical trajectory planning method that incorporates vertical straight-line segments, enabling smoother and more efficient robot movements in constrained environments. This approach is significant for improving the precision and speed of automated manufacturing tasks. While his most-cited paper, published in 2023, has garnered 2 citations, its impact lies in addressing a practical challenge in robotics—ensuring safe and effective operation when objects must be moved across different elevations. Jang’s work is notable for its direct applicability to real-world industrial settings, offering a solution that balances computational simplicity with operational reliability. For students and researchers in robotics, his research provides a valuable framework for designing trajectories that enhance productivity while maintaining safety in automated systems.
Research Focus
Key Achievements
Top Papers
- 1