CogDDN uses a fast heuristic VLM paired with a slow analytic reflection process and a growing knowledge base to navigate to objects that implicitly satisfy a user's demand, with large reported gains on AI2Thor DDN benchmarks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking
CogDDN uses a fast heuristic VLM paired with a slow analytic reflection process and a growing knowledge base to navigate to objects that implicitly satisfy a user's demand, with large reported gains on AI2Thor DDN benchmarks.