Direct visual navigation policies generate trajectories efficiently but do not explicitly evaluate their future consequences. Generative navigation world models provide this foresight through visual rollouts, which are costly when evaluating multiple candidates. We present LiteNWM, a latent navigation world model that...
Lin-Kai Liu, Yun-Tian Zhang, Zhen-Shan Bing et al.· 0 citations
PhyAI, a Physical AI inference engine with a single runtime that keeps architecture-specific conditioning, solver, cache, and output logic in model adapters while sharing graph execution, kernels, memory management, and parallel services, is built.
Cheng-Hua Wang, Daliang Xu, Dongqi Cai et al.· 1 citation
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