Shu-An Lee
Papers
3
Total Citations
19
H-Index
3
About
Shu-An Lee is a robotics researcher whose work centers on autonomous mobile robot navigation, visual servoing, and teleoperation. His primary contributions lie in developing real-time, vision-based control systems that allow mobile robots to operate intelligently in unknown indoor environments. Lee’s most cited work, “Real-time feature-based 3D map reconstruction for stereo visual guidance and control of mobile robots in indoor environments” (2005, 10 citations), introduced a stereo vision system capable of reconstructing 3D maps from observed geometrical features without any prior environmental knowledge—a foundational step for autonomous navigation. He further advanced the field with research on tele-supervisory autonomous pose control (2005, 6 citations) and visual servoing (2004, 3 citations), where he proposed client-server architectures enabling remote operators to directly command binocular-equipped robots. By integrating real-time 3D mapping with supervisory control, Lee’s work bridges the gap between fully autonomous and teleoperated systems, offering practical solutions for deploying mobile robots in complex, unstructured settings. His research remains relevant for students and engineers working on vision-guided robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 3Autonomous visual servoing with tele-supervision3 citations · 2004