OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2401.12202/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:27:26 GMTOK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics — HN submissionhttps://news.ycombinator.com/item?id=39483482urn:hackerpapers:submission:2401.12202:39483482Fri, 23 Feb 2024 17:23:23 GMT<p>Show HN: OK-Robot: open, modular home robot framework for pick-and-drop anywhere</p><p>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 &quot;scan&quot; (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…</p><p>542 points; 110 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2401.12202/">Paper and source history</a>. A submission is not an endorsement.</p>cs.RO