Authors

Michal Drozdzal

Publications 2

Preprint Open access

RoboJEPA: Scaling Robotic Latent World Models

Artem Zholus, Nicolas Beltran-Velez, Jianhao Yuan et al. · 2026

Latent world models have shown a remarkable ability to predict future states and to plan in the real world. In practice, however, we lack a principled way to estimate how their capabilities scale with model size, data, and compute, an open problem that slows progress in the field. In this work we present RoboJEPA, a wo …

Preprint Open access

World Action Modeling with Progressive Visual Planning

Fei Zhang, Zhaochong An, Duncan Frost et al. · 2026

World action models (WAMs) have emerged as a promising paradigm for robotic control by jointly predicting future visual dynamics and actions from an initial observation and instruction. However, existing WAMs struggle with long-horizon prediction, as generating dense video rollouts is highly inefficient. Some recent WA …

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