
RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
RoboFoundry freezes the foundation model and treats the surrounding context, skill, and semantic-binding system as the evolving policy, allowing embodied agents to diagnose failures, validate persistent repairs, and transfer improvements across benchmarks and robots.
Jingsong Liang, Shuhao Liao, Shizhe Zhang · 24 views · Sep 26, 2026
Embodied AgentSystem-as-Policy
Sep 26, 2026