What is Dobb-E?
Dobb-E is an open-source framework that trains household robots using imitation learning. With an impressive 81% success in new tasks, it simplifies robot training. Utilizing the Stick tool and the Homes of New York dataset, Dobb-E gathers demonstrations quickly. Access pre-trained models and documentation on GitHub. Explore more in the research paper, "On Bringing Robots Home," to see how Dobb-E transforms home robotics.
Top Features
- Open-source framework for household robots
- Imitation learning for task training
- Achieves 81% success in new tasks
- Gathers demonstrations quickly
- Access to pre-trained models and documentation
