Dobb·E is an open-source framework designed for teaching robots to perform household tasks using imitation learning. It provides tools for data collection, model training, and deployment in home environments, targeting robotics researchers and developers.
Dobb·E is a Frameworks & SDKs product. It focuses on enabling robots to learn household tasks efficiently through open-source imitation learning. It is built as an open-source project for robotics researchers and developers. Dobb·E is open source under the MIT license. Dobb·E is available on the web and API, and it can be self-hosted.
Behind Dobb·E is Nur Muhammad Shafiullah, Anant Rai, et al., and the product first shipped in 2023. Development happens publicly on GitHub with 623 stars. Key capabilities include imitation learning, robotic manipulation, and dataset collection. It exposes integrations via a public API.
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