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RESEARCH PAPER

π^*_0.6: a VLA That Learns From Experience

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Physical Intelligence; Ali Amin; Raichelle Aniceto; Ashwin Balakrishna; Kevin Black; Ken Conley; Grace Connors; James Darpinian; Karan Dhabalia; Jared DiCarlo; Danny Driess; Michael Equi; Adnan Esmail; Yunhao Fang; Chelsea Finn; Catherine Glossop; Thomas Godden; Ivan Goryachev; Lachy Groom; Hunter Hancock; Karol Hausman; Gashon Hussein; Brian Ichter; Szymon Jakubczak; Rowan Jen; Tim Jones; Ben Katz; Liyiming Ke; Chandra Kuchi; Marinda Lamb; Devin LeBlanc; Sergey Levine; Adrian Li-Bell; Yao Lu; Vishnu Mano; Mohith Mothukuri; Suraj Nair; Karl Pertsch; Allen Z. Ren; Charvi Sharma; Lucy Xiaoyang Shi; Laura Smith; Jost Tobias Springenberg; Kyle Stachowicz; Will Stoeckle; Alex Swerdlow; James Tanner; Marcel Torne; Quan Vuong; Anna Walling; Haohuan Wang; Blake Williams; Sukwon Yoo; Lili Yu; Ury Zhilinsky; Zhiyuan Zhou

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Classification

View four quadrants
Major category
VLA
Architecture
Dual-system
Prediction paradigm
Not applicable
Subcategories
VLA post-training & data augmentationDiffusion & flow-matching VLA
Source review status
Verified from primary sources
AT A GLANCE

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