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title
Open-World Object Manipulation using Pre-Trained Vision-Language Models
description
Open-World Object Manipulation using Pre-Trained Vision-Language Models
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author
updated
2026-02-23 09:31:15
raw text
Open-World Object Manipulation using Pre-Trained Vision-Language Models Open-World Object Manipulation using Pre-Trained Vision-Language Models Austin Stone* Ted Xiao* Yao Lu* Keerthana Gopalakrishnan Kuang-Huei Lee Quan Vuong Paul Wohlhart Sean Kirmani Brianna Zitkovich Fei Xia Chelsea Finn Karol Hausman *Denotes equal contribution. Correspondence to tedxiao@google.com. CoRL 2023 Paper Video Abstract For robots to follow instructions from people, they must be able to connect the rich semantic information in human vocabulary, e.g. "can you get me the pink stuffed whale?"" to their sensory observations and actions. This brings up a notably difficult challenge for robots: while robot learning approaches allow robots to learn many different behaviors from first-hand experience, it is impractical for robots to have first-hand experiences that span all of this semantic information. We would like a robot's policy to be able to p...
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