Papers
7
Total Citations
167
H-Index
7
About
Sunglok Choi is a robotics and computer vision researcher whose work spans mobile robot navigation, visual odometry, and autonomous systems. His research has made significant contributions to two interconnected domains: the mechanics and control of mobile robotic platforms, and vision-based localization for autonomous vehicles and robots. Choi's early work addressed the complex nonlinear slip dynamics of omniwheel mobile robots, deriving equations of motion through Euler-Lagrange formulation—a paper that has attracted 42 citations and remains a foundational reference in mobile robotics. He subsequently turned his attention to monocular visual odometry, tackling core challenges including planar motion constraints, scale ambiguity, and reliable relative pose estimation. These contributions, collectively drawing over 80 citations, helped advance practical, cost-effective alternatives to stereo camera systems for autonomous navigation. His broader portfolio reflects a systems-level perspective, encompassing DGPS/INS sensor fusion using Extended Kalman Filters, reusable robot navigation software libraries, and, most recently, real-time local planning algorithms designed for agile yet safe operation in cluttered environments. Together, Choi's body of work demonstrates a consistent focus on making autonomous robots more robust, efficient, and deployable in real-world conditions—from indoor corridors to on-road environments.
Research Focus
Key Achievements
Top Papers
- 1Nonlinear Slip Dynamics for an Omniwheel Mobile Robot Platform42 citations · 2007
- 2Fast and reliable minimal relative pose estimation under planar motion36 citations · 2017
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- 4Resolving scale ambiguity for monocular visual odometry25 citations · 2013
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