Hong-Jun Lee
Papers
1
Total Citations
7
H-Index
1
About
Hong-Jun Lee is a robotics researcher specializing in motion planning and control for industrial actuators, with a particular focus on smooth, jerk-limited trajectory generation. His most-cited work, "Jerk-Limited Time-Optimal Reference Trajectory Generation for Robot Actuators" (2017, 7 citations), addresses a critical challenge in high-performance robot control: generating point-to-point reference trajectories that minimize motion time while respecting jerk constraints. By implementing a simple yet effective algorithm for electric motor-based actuators, Lee's contribution enables smoother, more precise positioning—reducing mechanical wear and vibration in industrial robots. This work has practical implications for automation, where both speed and accuracy are paramount. Though early in his citation impact, Lee's research bridges the gap between theoretical optimal control and real-world actuator performance, offering engineers a straightforward method to enhance robot responsiveness and longevity. His focus on practical, implementable solutions marks him as a promising contributor to the field of robotic motion control.
Research Focus
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Top Papers
- 1