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RoboIRS: Inference-Time Internal Representation Steering for Generalist Robot Policies
Vision-language-action (VLA) and world-action models (WAMs) often degrade under out-of-distribution task variations despite retaining partial task capability. To recover such capability, we propose RoboIRS, an inference-time internal representation steering method that uses successful and failed rol
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