Papers
7
Total Citations
122
H-Index
6
About
Kiwan Choi is a leading researcher in mobile robotics, specializing in localization, state estimation, and sensor fusion for autonomous navigation. His work addresses the critical challenge of maintaining accurate position estimates on irregular terrain and under slip-prone conditions. Choi’s most influential contribution is the development of the constrained Kalman filter for mobile robot localization, which integrates low-cost gyroscopes to correct odometry errors—a method that has garnered over 32 citations. He further advanced the field with the fuzzy-logic-assisted interacting multiple model (FLAIMM), which dynamically selects optimal estimation models to enhance robustness. His research on slip detection and compensation using multiple model approaches has improved dead reckoning accuracy, while his work on monocular SLAM with undelayed initialization enables indoor robots to build maps without prior calibration. With over 120 cumulative citations, Choi’s innovations in self-calibration and sensor fusion have directly influenced the design of reliable, cost-effective cleaning and service robots. His contributions remain foundational for researchers developing robust localization systems for real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Mobile robot localization with gyroscope and constrained Kalman filter32 citations · 2010
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- 4Monocular SLAM with undelayed initialization for an indoor robot15 citations · 2012
- 5Constrained Kalman Filter for Mobile Robot Localization with Gyroscope15 citations · 2006
- 6Self-calibration of gyro using monocular SLAM for an indoor mobile robot12 citations · 2012
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