SAGR builds a semantic area graph from occupancy maps so LLMs can assign rooms to robots for language-guided search, staying competitive with standard exploration while improving semantic target finding by up to 18.8% in large environments.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces an incremental reachable graph and structural priors for multi-floor ground robot exploration, showing improved efficiency in simulation and real-time onboard performance.
citing papers explorer
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Semantic Area Graph Reasoning for Multi-Robot Language-Guided Search
SAGR builds a semantic area graph from occupancy maps so LLMs can assign rooms to robots for language-guided search, staying competitive with standard exploration while improving semantic target finding by up to 18.8% in large environments.
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Multi-Floor Exploration for Ground Robots via an Incremental Reachable Graph and Structural Priors
Introduces an incremental reachable graph and structural priors for multi-floor ground robot exploration, showing improved efficiency in simulation and real-time onboard performance.