Vision-language-action (VLA) models achieve strong performance across embodied manipulation tasks by unifying visual understanding, language conditioning, and action generation. However, long-horizon tasks can involve non-Markovian dependencies: successful decisions may require retaining task progress and past interact...
Ting-Wen Du, Hao-Yu Guo, Han-Xue Zhang et al.· 0 citations
Findings reveal sustained, dependency-consistent evidence integration, rather than isolated fact retrieval, as a key bottleneck for current deep research agents.
Ming-Hao Guo, Meng Cao, Sui-Feng Zhao et al.· 0 citations
CoNav introduces a new collaborative framework between a 3D-language model and a vision-language navigation agent for embodied navigation, and achieves clear improvements on four standard embodied navigation benchmarks and two spatial reasoning benchmarks.
Haihong Hao, Mingfei Han, Changlin Li et al.· IEEE Transactions on Pattern...· 0 citations
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