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Increased availability of verifiers often comes at the cost of their credibility, revealing a critical trade-off in robot policy evaluation.
A fully integrated robot learning stack that bridges the gap from simulation to real-world deployment, enhancing the efficacy of vision-language-action models.
Ditch the post-capture processing bottleneck: FUN achieves real-time hyperspectral object detection by jointly learning reconstruction and detection in a single, efficient network.
NeRFs get a boost in video reconstruction quality by explicitly modeling inter- and intra-ray similarities with a novel transformer architecture.