MirroS develops foundation models for physical AI that model both an agent and its environment
MirroS develops foundation models for physical AI that model both an agent and its environment. Its dual-loop approach lets actions change the world and uses resulting feedback to update the agent, addressing limited interaction data and the gap between simulated and real-world physical-AI training.