Wai-Kiang Yeap
Papers
3
Total Citations
12
H-Index
2
About
Wai-Kiang Yeap is a leading researcher in mobile robotics and spatial cognition, best known for his pioneering work on topological metric mapping and autonomous navigation. His key research areas include robot mapping, path planning, and the correspondence problem—the challenge of enabling robots to recognize previously visited locations to close cycles in their maps. Yeap’s major contribution is the development of a hybrid approach that combines the efficiency of topological maps with the precision of absolute metric maps, allowing robots to map naively during exploration but plan intelligently for navigation. His 2005 paper, "A Mobile Robot that Maps Naively But Plans Intelligently," and his 2004 work on using absolute metric maps to close cycles have each garnered 5 citations, reflecting their foundational role in the field. These studies demonstrate how robots can resolve spatial ambiguities without relying on expensive sensors, advancing practical deployment in real-world environments. Yeap’s research has influenced subsequent work in simultaneous localization and mapping (SLAM), and his insights into cognitive mapping continue to inspire both roboticists and researchers in artificial intelligence. His notable achievements include bridging theoretical models of human spatial reasoning with robust robotic systems, making his work essential reading for students and engineers interested in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1A Mobile Robot that Maps Naively But Plans Intelligently5 citations · 2005
- 2
- 3Using Absolute Metric Maps to Close Cycles in a Topological Map2 citations · 2005