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Xiaomi Robotics-1 🤖a new robot foundation model from Xiaomi Tech - 100K+ hours real world robot data - VLA architecture - Cross-embodiment generalization - Fast adaptation to new tasks

Adina Yakup

16,668 subscribers

17,348 Aufrufe • vor 1 Monat •via X (Twitter)

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7 Kommentare

Profilbild von Nepher Robotics

Nepher Roboticsvor 1 Monat

@XiaomiTech_ Curious, how to adapt to the new task quickly?

Profilbild von Matt Strong

Matt Strongvor 1 Monat

I noticed 32% on unseen composite tasks for RoboCasa365. I am curious, with any of these models, is the issue in the architecture (poor long-horizon policy memory)? The quality/diversity of the visual data? Is the task just that hard? I'm also curious about the vision augmentations performed on the pretraining data. I have found this to be a HUGE factor in downstream task performance across tactile, autonomy, manipulation tasks. It also seems that the "100K+ hours real world robot data" is of UMI data, not real robot data.

Profilbild von Jakie PLA

Jakie PLAvor 1 Monat

@XiaomiTech_ Cross-embodiment generalization. THAT'S what industrial robotics has needed. Less retraining every time you swap a platform.

Profilbild von AI Mastery Guide

AI Mastery Guidevor 1 Monat

@XiaomiTech_ 100k hours of real world data is a serious base for a foundation model

Profilbild von Flawed Code

Flawed Codevor 1 Monat

@XiaomiTech_ Nice, is this one of those Chinese models trained from child labor?

Profilbild von stefanveliki

stefanvelikivor 1 Monat

@XiaomiTech_ Who has a bag for their shoes? If this thing can actually clean up my room, come on down. Nevermind the continuously streaming data to China-based data centers. The important thing is my room is clean.

Profilbild von Nicolas de Camaret

Nicolas de Camaretvor 1 Monat

@XiaomiTech_ So good to see public / open models and not just white papers!

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