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20242026
most citedDiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments

1 citations · 1 across the 1 of their papers we have counts for

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cs.RO2026

Commerge: Communication-Efficient, Robust, and Fast LiDAR Map Merging Framework for Multi-Robot Coordination in Resource-Constrained Scenarios

Hogyun Kim, Jiwon Choi, Juwon Kim +4

By maintaining global consistency across robot teams, multi-robot LiDAR map merging enables faster exploration and efficient area coverage. However, map merging requires exchanging…

cs.RO2026

Back to the Familiar Future: Failure Recovery for VLA Policies via Pre-Imagined Milestone Selection

Suyeon Shin, Juwon Kim, Hyeonbin Park +4

Vision-language-action (VLA) policies can deviate from nominal trajectories during manipulation, even when tasks remain physically feasible. Recovering from these deviations is cha…

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

SKiD-SLAM: Robust, Lightweight, and Distributed Multi-Robot LiDAR SLAM in Resource-Constrained Field Environments

Hogyun Kim, Jiwon Choi, Juwon Kim +4

Distributed LiDAR SLAM is crucial for achieving efficient robot autonomy and improving the scalability of mapping. However, two issues need to be considered when applying it in fie…

cs.RO20241 cited

DiTer++: Diverse Terrain and Multi-modal Dataset for Multi-Robot SLAM in Multi-session Environments

Juwon Kim, Hogyun Kim, Seokhwan Jeong +2

We encounter large-scale environments where both structured and unstructured spaces coexist, such as on campuses. In this environment, lighting conditions and dynamic objects chang…