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Dobb·E: On Bringing Robots Home
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Dobb·E is an open-source framework for teaching robots household tasks via imitation learning in 20 minutes. The framework uses a simple tool called the Stick, collects a dataset called Homes of New Y
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Dobb·E: On Bringing Robots Home
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Dobb·E: On Bringing Robots Home DOBB·E Videos Hardware Dataset Models Paper Code Contact us Start using Dobb·E Dobb·E An open-source, general framework for learning household robotic manipulation 109 tasks 10 NYC homes 81% success rate 20 minutes to learn a new task Nur Muhammad "Mahi" Shafiullah* , Anant Rai* , Haritheja Etukuru , Yiqian Liu , Ishan Misra , Soumith Chintala , Lerrel Pinto Dobb·E in homes Read the paper GitHub repo Expand abstract Throughout history, we have successfully integrated various machines into our homes. Dishwashers, laundry machines, stand mixers, and robot vacuums are just a few recent examples. However, these machines excel at performing only a single task effectively. The concept ...
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