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Hydra: A Navigation World Action Model with Discrete Latent Planning and Continuous Flow-Matching Execution
Hydra, a discrete World Action Model that tackles this by establishing a unified latent manifold over visual states, physical poses, and control actions, outperforms state-of-the-art navigation world models in goal-directed planning, while matching or exceeding the closed-loop execution capabilities of leading reactive...
ACME: A Multi-Cultural, Multi-Embodiment Social-Navigation Dataset
Understanding how robots and humans move in shared spaces is essential for designing effective social robot navigation policies and predicting human behavior. However, existing datasets often lack the diversity needed to capture differences in culture, geography, and human-robot interaction-factors that strongly shape...