Po‐Yi Lee
Papers
1
Total Citations
3
H-Index
1
About
Po-Yi Lee is a researcher in robotics and computer vision, with a focus on autonomous navigation and 3D scene reconstruction. Their most-cited work, "Autonomous indoor passageway finding using 3D scene reconstruction with stereo vision" (2017), introduces a novel algorithm that enables robots to autonomously identify openings—such as hallways or windows—in unknown environments using stereo vision. Unlike conventional approaches that rely on distance measurements to landmarks, Lee’s method emphasizes real-time 3D reconstruction to detect passageways, advancing the field of autonomous robot navigation in complex indoor settings. While their citation count (3) reflects a niche but growing impact, this work contributes to foundational techniques in spatial perception and obstacle avoidance. Lee’s research bridges the gap between computer vision and practical robotics, offering potential applications in search-and-rescue, autonomous exploration, and assistive technologies. Their work underscores a commitment to developing intelligent systems that can perceive and adapt to unstructured environments, marking them as a promising voice in the intersection of robotics and scene understanding.
Research Focus
Key Achievements
Top Papers
- 1