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    RT-SAFE's reported results: 94.1% reach the goal; 0.7% finish without a safety event

    A post introduces RT-SAFE as a way to evaluate embodied AI safety while the world keeps moving.

    Lianhui Qin@COLM2026LQ
    Rose XuRX
    2 Sources, ,

    TLDR

    A post introducing RT-SAFE says it evaluates safety for embodied AI in a changing world. For eight frontier vision-language models, the post says 94.1% reach the goal, but only 0.7% finish without a safety event.

    Combined views

    875

    2 Sources, first seen 2h ago

    Combined views

    875

    2 Sources, first seen 2h ago

    10 likes
    2h ago
    first seen 2h ago
    10 likes
    1 comments
    2 saves
    4 reposts
    1 comments
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    4 reposts
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    2 Sources

    Rose Xu@XTRose88Embodied AI needs decisions that keep up with a changing world. 🚦 Introducing RT-SAFE: safety evaluation while the world keeps moving. 8 frontier VLMs: 🎯 94.1% reach the goal 🛡️ only 0.7% finish without a safety event 🌏 Website: https://xtrose29.github.io/RT-SAFE/2h
    Lianhui Qin@COLM2026@LianhuiqRT @XTRose88: Embodied AI needs decisions that keep up with a changing world. 🚦 Introducing RT-SAFE: safety evaluation while the world kee…1h

    2 Sources

    Rose Xu@XTRose88Embodied AI needs decisions that keep up with a changing world. 🚦 Introducing RT-SAFE: safety evaluation while the world keeps moving. 8 frontier VLMs: 🎯 94.1% reach the goal 🛡️ only 0.7% finish without a safety event 🌏 Website: https://xtrose29.github.io/RT-SAFE/2h
    Lianhui Qin@COLM2026@LianhuiqRT @XTRose88: Embodied AI needs decisions that keep up with a changing world. 🚦 Introducing RT-SAFE: safety evaluation while the world kee…1h