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PhysCaP enables robots to actively infer hidden physical properties, achieving superior manipulation efficiency without additional sensors.
3D-PLOT-LLM achieves part-level reasoning in 3D MLLMs without the hefty parameter costs of traditional methods, outperforming competitors on key benchmarks.
Multi-iteration experience learning in LLMs can lead to capability collapse, but strategic adjustments in experience granularity and injection patterns can stabilize and enhance performance.
