Dobb·E – towards home robots with an open-source platform
Hi HN! Proud to share our open-source robot platform, Dobb·E, a home robot system that needs just 5 minutes of human teaching to learn new tasks. We've already taken Dobb·E to 10 different homes in New York, taught it 100+ tasks, and we are just getting started! I would love to hear your thoughts about this. Here are some more details, below (or see a Twitter thread with attached media: https://twitter.com/i/status/1729515379892826211 or https://nitter.net/i/status/1729515379892826211): We engineered Dobb·E to maximize efficiency, safety, and…
Dobb·E – towards home robots with an open-source platform launched on November 28, 2023 with 394 votes, #61 of 4,332 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Dobb·E is an open-source home robot platform that learns new household tasks from just five minutes of human demonstration. The system uses imitation learning with a data collection tool called "the Stick," along with a pretrained vision model and fine-tuning recipe. Designed for efficiency and safety, Dobb·E has been tested in multiple homes and taught over 100 different tasks. It is for researchers and developers interested in robotics and household automation.
written from the facts on this page · September 2026
From the sources
Dobb·E is an open-source framework for teaching robots household tasks via imitation learning in 20 minutes. The framework uses a simple tool called the Stick, collects a dataset called Homes of New York (HoNY) with it, and then trains a representation learning model, Home Pretrained Representations (HPR) with it. Then, Dobb·E uses five minutes of collected data in a new home for a novel task and
Throughout history, we have successfully integrated various machines into our homes. Dishwashers, laundry machines, stand mixers, and robot vacuums are just a few recent examples. However, these machines excel at performing only a single task effectively. The concept of a “generalist machine” in homes - a domestic assistant that can adapt and learn from our needs, all while remaining cost-effective - has long been a goal in robotics that has been steadily pursued for decades. In this work, we initiate a large-scale effort towards this goal by introducing Dobb·E, an affordable yet versatile general-purpose system for learning robotic manipulation within household settings. Dobb·E can learn a…from dobb-e.com
In the maker’s words, at launch
Hi HN! Proud to share our open-source robot platform, Dobb·E, a home robot system that needs just 5 minutes of human teaching to learn new tasks. We've already taken Dobb·E to 10 different homes in New York, taught it 100+ tasks, and we are just getting started! I would love to hear your thoughts about this. Here are…
Does a similar job
all alternatives →- OROK-Robot: open, modular home robot framework for pick-and-drop anywhere2024 · ok-robot.github.io · ▲542
Hi all, excited to share our latest work, OK-Robot, which is an open and modular framework to perform navigation and manipulation with a robot assistant in practically any homes without having to teach the robot anything new! You can simply unbox the target robot, install OK-Robot, give it a "scan" (think a 60 second iPhone video), and start asking the robot to move arbitrary things from A to B. We already tested it out in 10 home environments in New York city, and one environment each in Pittsburgh and Fremont. We based everything off of the current best machine learning models, and so…
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Robotopia – Introducing kids to coding with tiny virtual robots2017 · github.com · ▲133:robot: Introducing kids to coding with tiny virtual robots! - robotopia-x/robotopia
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