Frontier models can now perform well on individual embodied navigation tasks through multi-round multimodal reasoning with simple tools. Across successive tasks, however, an agent must also rely on an evolving map and earlier search records, both of which may be incomplete or conflict with new observations. We present...
Xun-Yi Zhao, Jian Zhou, Si-Hao Lin et al.· 0 citations
Talk2Escape is introduced, a proactive and model-agnostic dialogue intervention framework that reframes navigation as a closed-loop interactive process and proves that proactive dialogue drastically improves navigation robustness in physical environments.
Ze-Rui Li, Si-Hao Lin, Yan-Yan Shao et al.· 0 citations
It is confirmed that, in modulation-conditioned diffusion policies, task adaptation can be routed entirely through the conditioning pathway, leaving a frozen, observation-free backbone that serves as a reusable trajectory prior, and a 5M-parameter MLP backbone matches or exceeds both the 244M U-Net and the transformer...
Jian Zhou, Si-Hao Lin, Shuai Fu et al.· 0 citations
Knowledge distillation (KD) has become a pivotal technique for transferring knowledge from large-scale teacher models to lightweight student models. However, traditional feature-based distillation methods necessitate the direct exposure of the teacher’s intermediate representations, raising concerns regarding data priv...
Jun-Fei Yi, Si-Hao Lin, Hui Zhang et al.· IEEE Transactions on Image P...· 0 citations
The results show that a general-purpose model can already achieve competitive embodied control without a navigation policy, and term this organization agentic embodied control: the reasoning model directly steers every action, keeping reasoning and control aligned.
This work evaluates three AAS variants across four embodied executors spanning vision-language navigation, embodied question answering, and language-conditioned manipulation, and shows that architecture-level search can produce deployable and directional success-rate gains on embodied tasks, while one apparent high-sco...
Jian Zhou, Sihao Lin, Jin Li et al.· arXiv.org· 1 citation
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