Papers
1
Total Citations
6
H-Index
1
About
Wei-Min Lai is a robotics researcher whose work centers on autonomous mobile robot navigation, particularly in complex, multi-level environments. His key contributions lie in integrating wireless and vision-based sensing to enable cross-floor traversal, addressing a critical challenge for service robots operating in real-world buildings. His most-cited paper, "Autonomous cross-floor navigation of a stair-climbing mobile robot using wireless and vision sensor" (2013), presents a system that guides a stair-climbing robot from the first to the fourth floor using a map of stairways and corridors. This work, with 6 citations, demonstrates a practical approach to overcoming vertical mobility barriers in indoor navigation. Lai’s research is notable for its focus on sensor fusion and autonomous decision-making in segmented environments, offering a foundation for future developments in logistics, inspection, and assistive robotics. By tackling the problem of seamless floor-to-floor movement, he has contributed to making mobile robots more versatile and independent in human-centric spaces.
Research Focus
Key Achievements
Top Papers
- 1