Shu-An Lee

National Taipei University of Technology

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

3
H-Index
3
Papers
19
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Real-time feature-based 3d map reconstruction for stereo visual guidance and control of mobile robots in indoor environments
10 citations · 2005
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: National Taipei University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago