In this paper, we systematically investigate the mechanisms, scaling behavior, and generalization of physical Recursive self-improvement. We introduce PhysRSI-eval to quantify physical RSI through a five-axis metric. Different VLMs are evaluated on 18 manipulation tasks under a fixed interaction budget.
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The study may help understand how systems can improve based on physical interactions and how this affects their effectiveness.
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