Byung-Uk Lee
Papers
7
Total Citations
90
H-Index
5
About
Byung-Uk Lee’s research career has been defined by advancing the intelligence and autonomy of robotic systems, with a particular focus on motion planning, multi-robot coordination, and perception. His foundational work on robot motion analysis for conveyor tracking (44 citations) established a comprehensive framework that considers not only joint velocity and acceleration limits but also torque and jerk constraints, enabling robots to dynamically track moving parts on assembly lines. He further extended these principles to cooperative systems, developing time-optimal motion planning for two collaborating robots along prescribed paths and introducing force ellipsoid methods for optimal load distribution. In multi-robot mapping, Lee proposed an innovative grid map-merging technique using virtual emphasis and curvature-based matching, improving both accuracy and system flexibility. His more recent contributions include a latitude-aware convolutional approach for 360° image super-resolution, bridging synthetic and real data to enhance omnidirectional vision for autonomous robots and VR applications. Lee has also explored adaptive 3D object registration based on point cloud distribution and neural network-based learning control for robotic manipulators. Across his career, his work has consistently addressed practical challenges in industrial and service robotics, earning recognition for its technical rigor and real-world applicability.
Research Focus
Key Achievements
Top Papers
- 1An approach to robot motion analysis and planning for conveyor tracking44 citations · 1992
- 2Accurate map merging with virtual emphasis for multi‐robot systems14 citations · 2013
- 3
- 4
- 5Path constrained time-optimal motion of a cooperative two robot system6 citations · 2002
- 6
- 7