To-Wen Lai
Papers
1
Total Citations
21
H-Index
1
About
To-Wen Lai is a robotics researcher specializing in autonomous navigation, computer vision, and indoor localization systems. His most influential work, "Mobile Robot Self-Localization System Using Single Webcam Distance Measurement Technology in Indoor Environments" (2014), has garnered 21 citations and introduced a cost-effective approach to robot positioning by leveraging existing surveillance webcams. Lai developed the Image-Based Distance Measurement System (IBDMS), which uses parallel lines to calculate distances from a single camera, eliminating the need for expensive sensors. This innovation significantly advanced practical, low-cost solutions for mobile robot self-localization in indoor settings. His contributions have been particularly valuable for integrating robotics into everyday environments, such as warehouses and smart buildings, where affordability and simplicity are critical. Lai's work demonstrates a strong commitment to bridging the gap between theoretical computer vision and real-world robotic applications, making him a notable figure in accessible robotics technology.
Research Focus
Key Achievements
Top Papers
- 1