π0.5: A VLA with open-world generalization

Published April 22, 2025 Email [email protected] Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Manuel Galliker, Dibya Ghosh, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Devin LeBlanc, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Allen Ren, Lucy Xiaoyang Shi, Laura Smith, Jost Tobias Springenberg, Kyle Stachowicz, James Tanner, Quan Vuong, Homer Walke, Anna Walling, Haohuan Wang, Lili Yu, Ury Zhilinsky Paper π 0.5 .pdf Robots have come a long way over the past few years—they can perform impressive acrobatic feats, dance on stage, follow language commands and, in some of our own results, perform complex tasks like folding laundry or cleaning off a table. But the biggest challenge in robotics is not in performing feats of agility or dexterity, but generalization: the ability to figure out how to correctly perform even ... Read full article.