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New robotics and physical-AI papers, with what each one means for the industry.

1 papers
arXiv
fleet memory for warehouse robotsIntermediate

Industrial ReMEmbR: Scaling Spatiotemporal Memory to Robot Fleets

Jad Yammine, Malek Wahidi, Abrar Anwar, Yan Chang, Mihir Acharya, Anthony RizkIdealworks; NVIDIA

Describing only the 10% of video memories that someone actually asks about, instead of captioning every clip, cuts modelled server demand for a 100-robot warehouse fleet from 36.25 to 1.04 GPU equivalents, a 34.8-fold reduction, according to a preprint from Idealworks and NVIDIA. The same robot-side embeddings drive a live aisle-traffic map that scored 71.3% balanced accuracy in simulation.

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Papers come from arXiv robotics feeds. Where our summary is not written yet, you see the opening lines of the abstract.