Yong‐Joon Choi
Papers
1
Total Citations
3
H-Index
1
About
Yong‐Joon Choi is a robotics researcher whose work focuses on advancing autonomous manipulation in unstructured environments. His primary research areas include redundant manipulator control, obstacle avoidance, and sensor-based robotic motion planning. Choi’s most notable contribution is a novel obstacle avoidance algorithm for redundant manipulators that operates without requiring joint angle information. This approach is particularly significant for real-world applications, as it relies solely on direct distance measurements from range sensors like sonar and laser scanners, enabling robots to navigate cluttered spaces even when internal joint data is unavailable or unreliable. By introducing the concept of quasi-desired points, Choi’s method provides a practical solution for industrial and service robots operating in dynamic settings. Although his most-cited paper has garnered 3 citations, its impact lies in addressing a fundamental limitation in sensor-based control. Choi’s work bridges the gap between theoretical kinematics and practical deployment, offering a robust framework for manipulators to avoid obstacles using only external sensing. His research continues to influence the development of safer, more adaptable robotic systems in manufacturing and field robotics.
Research Focus
Key Achievements
Top Papers
- 1