Papers
12
Total Citations
129
H-Index
7
About
Chuho Yi is a leading researcher in mobile robotics, specializing in semantic mapping, Bayesian localization, and autonomous navigation. His work bridges the gap between human and machine perception by developing cognitive representations that allow robots to understand spatial environments using affordable, consumer-grade cameras. Yi’s major contributions include pioneering Bayesian models for robot localization that leverage spatial object contexts—enabling robots to determine their position through semantic relationships among landmarks rather than relying on expensive sensors. His highly cited papers, such as “Bayesian robot localization using spatial object contexts” (23 citations) and “Semantic mapping and navigation: A Bayesian approach” (22 citations), have shaped the field of topological-semantic-metric (TSM) mapping. Yi also addressed the challenging “kidnapped-robot problem” with innovative detection and recovery methods using measurement entropy. His work on sensor fusion for ego-motion estimation extends into IoT applications for moving platforms. With over 120 total citations, Yi’s research continues to influence cost-effective, human-like robotic navigation—making autonomous robots more accessible and intelligent in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Bayesian robot localization using spatial object contexts23 citations · 2009
- 2Semantic mapping and navigation: A Bayesian approach22 citations · 2013
- 3Active-semantic localization with a single consumer-grade camera20 citations · 2009
- 4Map Representation for Robots12 citations · 2012
- 5Detection and Recovery for Kidnapped-Robot Problem Using Measurement Entropy12 citations · 2011
- 6Indoor Place Classification Using Robot Behavior and Vision Data10 citations · 2011
- 7Sensor Fusion for Accurate Ego-Motion Estimation in a Moving Platform8 citations · 2015
- 8
- 9
- 10Semantic mapping and navigation with visual planar landmarks4 citations · 2012