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TidyBot: Personalized Robot Assistance with Large Language Models approach enables fast adaptation and achieves 91.2% accuracy on unseen objects in our benchmark dataset. We also demonstrate our approach on a real-world mobile manipulator called TidyBot, which successfully puts away 85.0% of objects in real-world test scenarios abs: project page:... show more

AK

506,562 subscribers

326,009 просмотров • 3 лет назад •via X (Twitter)

Образование Наука и технологии Новости и политика

Anya Rossi• Live Now

Private livecam show

Комментарии: 7

Фото профиля Jimmy Wu

Jimmy Wu3 лет назад

Thanks @_akhaliq for sharing our work! I wrote a thread with more details here:

Фото профиля hardmaru

hardmaru3 лет назад

This is the easy part :) I need a robot that can clean the bits of pieces of jam, bread crumbs, diapers, and occasionally pieces of poo around various corners of the room, under the tables, and hidden in the kids play area of the house.

Фото профиля hgtp:// Alkimi $ADS $QNT Cat 🐈‍⬛

hgtp:// Alkimi $ADS $QNT Cat 🐈‍⬛3 лет назад

How do I order one??

Фото профиля Defend Intelligence (Anis Ayari)

Defend Intelligence (Anis Ayari)3 лет назад

Really nice ! thank you for demonstrating this capability. LLM could then indeed be used as the "reasoning" block to achieves unseen world reasonning and allow tasks to get a better generalization to accomply them.

Фото профиля Dan Rockwell

Dan Rockwell3 лет назад

I felt like it was missing something..

Фото профиля St. Clair Newbern IV

St. Clair Newbern IV3 лет назад

Should be the standard upsell on all children. 😂

Фото профиля Astral Turf

Astral Turf3 лет назад

@ericjang11 Not very impressive really.

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