Papers
6
Total Citations
87
H-Index
6
About
Jinwoo Choi is a robotics researcher whose work centers on autonomous mobile robot navigation, path planning, and simultaneous localization and mapping (SLAM). His most significant contributions lie in developing efficient spatial representation frameworks for indoor environments, most notably his pioneering work on hierarchical roadmap (HRM) construction. Introduced in a 2012 paper that garnered 29 citations, and further refined in a 2018 study with 15 citations, his HRM approach employs a multi-layered graphical structure built incrementally from sonar grid maps, enabling mobile robots to navigate unexplored spaces with greater computational efficiency. Choi has also advanced the field of collision anticipation, proposing an analytic method — cited 15 times — that predicts when and where collisions will occur in configuration time space by modeling agents' future behavior, moving beyond purely reactive solutions. His broader portfolio includes sampling-based path refinement techniques and probabilistic roadmap improvements using centroidal Voronoi tessellation for better environmental coverage. His 2006 work on integrating SLAM with task-based navigation reflects an enduring commitment to practical, real-world robotics deployment. Across his career, Choi's research has meaningfully shaped how autonomous robots perceive, map, and traverse complex indoor environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Incremental hierarchical roadmap construction for efficient path planning15 citations · 2018
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- 5A Practical Solution to SLAM and Navigation in Home Environment11 citations · 2006
- 6