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Dobb-E
Bringing Robots Home
Monthly visits:8444
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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%.
For Tasks:
For Jobs:
Features
- Can learn a new task with only five minutes of demonstration
- Uses a demonstration collection tool ("The Stick") built out of cheap parts and iPhones
- Has been tested in 10 homes, with a total of 109 tasks in different environments
- Achieved a success rate of 81%
- Open-source software stack and models, data, and hardware designs
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
Frequently Asked Questions
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Q:What is Dobb-E?
A:Dobb-E is an open-source, general framework for learning household robotic manipulation. -
Q:How does Dobb-E work?
A:Dobb-E uses a demonstration collection tool ("The Stick") built out of cheap parts and iPhones to learn new tasks. -
Q:What are the advantages of using Dobb-E?
A:Dobb-E is affordable, versatile, easy to use, can learn a variety of tasks, and has been tested in real-world environments. -
Q:What are the disadvantages of using Dobb-E?
A:Dobb-E may not be able to perform all tasks perfectly, requires some user input to learn new tasks, and may not be suitable for all environments. -
Q:How can I get started with Dobb-E?
A:You can get started with Dobb-E by visiting the project's website.
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