Gyeongsu Kang
Papers
1
Total Citations
2
H-Index
1
About
Gyeongsu Kang is a robotics researcher specializing in autonomous navigation, sensor fusion, and motion planning for mobile robots in complex environments. His work focuses on integrating LiDAR and visual sensing to enable robust mapping and navigation for autonomous mobile robots (AMRs), particularly in logistics settings. Kang’s most cited paper introduces a novel approach to path planning that extends the classic “elastic band” method by incorporating temporal constraints—a “timed elastic band”—to account for a robot’s dynamic constraints, such as velocity and acceleration, while maintaining collision-free navigation. This contribution addresses a critical gap in prior methods, which optimized only for path length without considering robot dynamics. With 2 citations, his work is gaining recognition for its practical relevance to real-world AMR deployment. Kang’s research is notable for its focus on loosely coupled LiDAR-visual systems, enhancing reliability in GPS-denied indoor environments. His achievements include advancing the state of the art in autonomous logistics, making him a promising voice in field robotics and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1