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Introduction | Dobb·E
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Welcome to robot learning in homes with Dobb·E!
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Introduction | Dobb·E Dobb·E Homepage Github More Homepage Github Search Ctrl + K Introduction Welcome to robot learning in homes with Dobb·E! Welcome to the documentation of Dobb·E! We want you to to be able to get started with our robot learning framework as fast as possible. Need more information? Schedule a call with someone on our team with this link https://calendly.com/mahis/dobb-e or right below. We will help you get set up as soon as we can. What is Dobb·E? Dobb·E is an open-source robotic imitation learning framework that can learn new household tasks in 5 minutes. Dobb·E is made up of four primary components: A hardware tool, called The Stick , to comfortably collect robotic demonstrations in homes. A dataset, called Homes of New York (HoNY) , with 1.5 million RGB-D frames. collected with the Stick across 22 homes and 216 environments of New York City. A pretrained lightweight foundational vision model called Home Pretrained Repr...
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