OK-Robot: open, modular home robot framework for pick-and-drop anywhere
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…
OK-Robot: open, modular home robot framework for pick-and-drop anywhere launched on February 23, 2024 with 542 votes, #41 of 3,962 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
OK-Robot is an open-source framework that enables home robots to perform navigation and object manipulation tasks without requiring task-specific training. Users can scan their home environment with a 60-second video, then direct the robot to move items between locations. Built on existing machine learning models, the system has been tested across multiple homes in New York, Pittsburgh, and Fremont. The framework is designed for developers and robotics enthusiasts who want to deploy robots in diverse residential settings.
written from the facts on this page · September 2026
From the sources
OK-Robot is an open framework for a modular system for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes. OK-Robot accomplishes this with a modular design, using 3D VoxelMap for open-vocabulary navigation, AnyGrasp and LangSam for open-vocabulary grasping, and a dropping primitive for placing.
Remarkable progress has been made in recent years in the fields of vision, language, and robotics. We now have vision models capable of recognizing objects based on language queries, navigation systems that can effectively control mobile systems, and grasping models that can handle a wide range of objects. Despite these advancements, general-purpose applications of robotics still lag behind, even though they rely on these fundamental capabilities of recognition, navigation, and grasping. In this paper, we adopt a systems-first approach to develop a new Open Knowledge-based robotics framework called OK-Robot. By combining Vision-Language Models (VLMs) for object detection, navigation…from ok-robot.github.io
In the maker’s words, at launch
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…
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