VULCAN applies vision-language models to multi-agent cooperative navigation in fire-simulated indoor environments, revealing failures of existing vision-based methods.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
VULCAN: Vision-Language-Model Enhanced Multi-Agent Cooperative Navigation for Indoor Fire-Disaster Response
VULCAN applies vision-language models to multi-agent cooperative navigation in fire-simulated indoor environments, revealing failures of existing vision-based methods.