Dobb-E

Dobb-E

Bringing Robots Home

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Dobb-E screenshot

Description:

Dobb-E is an open-source, general framework for learning household robotic manipulation. It is an affordable yet versatile general-purpose system for learning robotic manipulation within household settings. Dobb-E can learn a new task with only five minutes of a user showing it how to do it, thanks to a demonstration collection tool ("The Stick") built out of cheap parts and iPhones. Dobb-E has been tested in 10 homes, with a total of 109 tasks in different environments, and finally achieved a success rate of 81%.

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Features

Advantages

  • Affordable
  • Versatile
  • Easy to use
  • Can learn a variety of tasks
  • Has been tested in real-world environments

Disadvantages

  • May not be able to perform all tasks perfectly
  • Requires some user input to learn new tasks
  • May not be suitable for all environments

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