Learning Physical Principles from Interaction: Self-Evolving Planning via Test-Time Memory
Learning Physical Principles from Interaction: Self-Evolving Planning via Test-Time Memory explores PhysMem enhances VLM robot planners with memory to learn and adapt physical principles through interaction, improving decision-making in real-time tasks.. Commercial viability score: 5/10 in Robot Planning.
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