Towards Predictive, Aligned, and Scalable Robot Learning
Learning, at its core, extends beyond memorization to the ability to reason and solve novel problems by navigating a space of possibilities. We introduce Lumo-2, a latent world-action model that generates actions by reasoning over world dynamics in latent space. The learned latent world dynamics capture physically grounded visual transitions, naturally encoding future possibilities and providing a unified substrate for cross-modal alignment. This formulation enables predictive reasoning akin to
Record details
Published: 13 July 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (13 July 2026), “Towards Predictive, Aligned, and Scalable Robot Learning,” evidence record 15, https://ethics.ai/record/15 (originally published by arXiv).
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