Jiun Yih Kuan
Papers
1
Total Citations
2
H-Index
1
About
Jiun Yih Kuan is a robotics researcher whose work centers on motion planning and control systems for humanoid robots. His most notable contribution is the development of the Robust Double-Space Multi-Tension Spline Method (RDSMTS), introduced in his 2007 paper "A New Time-Efficient Trajectory Planning Solution for Humanoid Robot Arms." This innovative approach addresses one of the fundamental challenges in robotics — generating smooth, reliable trajectories for redundant robot arms simultaneously in both task space and joint space, while ensuring precise passage through desired knot points. The method's emphasis on time efficiency and robustness reflects a practical orientation toward real-world humanoid robot deployment. While Kuan's publication record reflects early-stage citation impact, with his primary work accumulating citations that signal foundational contributions within specialized robotics communities, his research tackles core problems in humanoid locomotion and manipulation that remain highly relevant as the field advances. His focus on bridging theoretical trajectory mathematics with the physical constraints of humanoid arm systems positions his work as a meaningful reference point for researchers developing next-generation robotic motion planning algorithms.
Research Focus
Key Achievements
Top Papers
- 1