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
A hierarchical UAV navigation framework that aligns natural-language intent with dynamically feasible flight behaviors in cluttered indoor environments is presented, and a parallelized ensemble of six behavior-conditioned Model Predictive Path Integral (MPPI) planners are employed.
Hanbing Zhang, Fang-Guo Zhao, Ze-Rui Li 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
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.
