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Recent progress in vision language foundation models has shown their ability to understand multimodal data and resolve complicated vision language tasks, including robotics manipulation.
Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1988
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al · 2018
Earlier work this paper cites.
Deep imitation learning for complex manipulation tasks from virtual reality teleoperation
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Robotic indoor scene captioning from streaming video
Xinghang Li, Di Guo, Huaping Liu, and Fuchun Sun · 2021
Earlier work this paper cites.
Voice in human–agent interaction: A survey
Katie Seaborn, Norihisa P Miyake, Peter Pennefather, and Mihoko Otake-Matsuura · 2021
Earlier work this paper cites.
Tokens-to-token vit: Training vision transformers from scratch on imagenet
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Do as i can, not as i say: Grounding language in robotic affordances
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Chuyuan Fu, Keerthana Gopalakrishnan, Karol Hausman, et al · 2022
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Flamingo: a visual language model for few-shot learning
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GPT-NeoX-20B: An open-source autoregressive language model
Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Pieler, USVSN Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, and Samuel Weinbach · 2022
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Pali-x: On scaling up a multilingual vision and language model
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Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023
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Palm-e: An embodied multimodal language model
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Vima: General robot manipulation with multimodal prompts
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Bc-z: Zero-shot task generalization with robotic imitation learning
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R3m: A universal visual representation for robot manipulation
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x 2 x^{2} -vlm: All-in-one pre-trained model for vision-language tasks
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