Author

Bwm Team

View on Semantic Scholar

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Jul 2026

BWM: A Low-Cost High-Fidelity World Simulator for Robot Learning

BWM is an action-conditioned world model that combines initial-environment guidance, dynamic visual history, and temporally aligned robot-action conditioning for stateful autoregressive prediction of future observations and is released as an open-source, low-cost, high-fidelity world simulator for robot manipulation.

Bwm Team · 0 citations