Papers
2
Total Citations
11
H-Index
2
About
Jujang Lee is a researcher specializing in robotics and adaptive control systems, with a particular focus on robot manipulator dynamics and motion planning. His work bridges theoretical control algorithms and practical robotic applications, contributing to the development of more intelligent and autonomous robotic systems. Lee’s most cited paper, “Adaptive control based on speed gradient algorithm for robot manipulators” (2002, 9 citations), introduces novel adaptive parameter update laws for rigid-body robot manipulators, building on foundational work by Fradkov. This contribution provides a robust framework for real-time control in uncertain environments, enhancing the stability and performance of robotic arms. In a more recent study, “Constrained motion planning for robot manipulators using local geometric information” (2015, 2 citations), Lee proposes a sampling-based algorithm that leverages local geometric data to navigate path constraints in joint space. This work advances the field of motion planning by enabling efficient, collision-free trajectories for complex manipulator tasks. Though his citation counts are modest, Lee’s research offers valuable insights into adaptive control and constrained planning, making him a thoughtful contributor to robotics engineering.
Research Focus
Key Achievements
Top Papers
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