This placeholder project focuses on compact world representations that can support simulation, future prediction, and scalable training of embodied agents.
We are interested in interactive 3D environments, controllable simulators, and learned world models that bridge synthetic training and real deployment.
This page is a placeholder for future project details, papers, demos, and datasets.