instance-level mapping 1large language models 1panoptic segmentation 1semantic mapping 1visual language navigation 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.RO2026
Instance-Enriched Semantic Maps for Visual Language Navigation
Jiho Hong, Eunae Kang, Sanghyun Kim +1
The paper proposes a framework that creates instance‑enriched 2.5D semantic maps from color and depth observations and uses large language models to process diverse navigation quer…
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
Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments
Gilhwan Kang, Hogyun Kim, Byunghee Choi +3
The unification of disparate maps is crucial for enabling scalable robot operation across multiple sessions and collaborative multi-robot scenarios. However, achieving a unified ma…