Dobb·E

Dobb·E

Empowering Home Robotics

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Dobb·E is an open-source, general framework for learning household robotic manipulation. It aims to create a 'generalist machine' for homes that can adapt and learn various tasks cost-effectively. Dobb·E can learn a new task in just five minutes of demonstration, thanks to a tool called 'The Stick' for data collection. The system achieved an 81% success rate in completing 109 tasks across 10 homes in New York City. Dobb·E is designed to accelerate research on home robots and make robot assistants a common sight in households.

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Features

Advantages

  • Quick task adaptation
  • High success rate
  • Cost-effective solution
  • Large-scale experimentation
  • Open-source for research

Disadvantages

  • Dependence on user demonstrations
  • Challenges with non-expert users
  • Variable demonstration quality

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