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RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
A foundation model should not act in isolation as an embodied agent. Yet, existing methods often optimize individual components of the agent stack, such as memory, context, skills, or action interfaces, rather than treating the supporting system itself as a unified policy. Moreover, interaction alon
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