2 papers
cs.RO2025
MSG-Loc: Multi-Label Likelihood-based Semantic Graph Matching for Object-Level Global Localization
Gihyeon Lee, Jungwoo Lee, Juwon Kim +2
Robots are often required to localize in environments with unknown object classes and semantic ambiguity. However, when performing global localization using semantic objects, high…
cs.RO2025
CUTE-Planner: Confidence-aware Uneven Terrain Exploration Planner
Miryeong Park, Dongjin Cho, Sanghyun Kim +1
Planetary exploration robots must navigate uneven terrain while building reliable maps for space missions. However, most existing methods incorporate traversability constraints but…