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...
Mohammad Nazeri, Alexandyr Card, S. Huber et al.· 2 citations
World Action Models (WAMs) have emerged as a promising alternative for embodied intelligence by jointly predicting future world states and robot actions. However, their heavy visual encoding and iterative generative inference incur substantial latency, limiting their applicability to high-frequency closed-loop control....
Zeng-Yuan Zuo, Yong-Chang Zhang, Guang-Yu Zhao et al.· 0 citations
We introduce P$^{3}$-WAM, a unified world action model for egocentric dexterous manipulation that learns 3D perception, action-conditioned prediction, and goal-directed planning through three complementary modes: Perceive, which reconstructs articulated hand motion and camera trajectories from video; Predict, which gen...
Zi-Rui Wu, Chen Guo, Tian-Jian Jiang et al.· 0 citations
This work studies action-conditioned predictors built on five frozen self-supervised visual backbones, finding that a world model guides action selection reliably only when the goal lies within, or slightly beyond, the trajectory it imagines during planning.
A. Alrasheed, Basim Azam, Naveed Akhtar· 0 citations
LaPla is introduced, a unified Vision-Language-Action framework featuring latent-aligned planning to seamlessly ground semantic understanding in precise motion execution to bridge the modality gap between high-dimensional semantics and the raw action space.
Ruo-Yu Yao, Yu-Sen Xie, Qing-Zhao Liu et al.· 1 citation
MM-Future, a world-action model that generates multiple paired scene-action hypotheses and models bidirectional interaction within each pair, shows consistent improvements over both single-mode and action-only variants, validating the benefit of multi-mode joint world-action modeling.
Shuai Liu, Hechangle Gong, Hao Jiang et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.