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Controlling robots through natural language is pivotal for enhancing human-robot collaboration and synthesizing complex robot behaviors.
A. Vaswani
2017
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E. Perez
2018
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P. Florence, L. Manuelli, and R. Tedrake, “Self-supervised correspondence in visuomotor policy learning,”
2019
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A. Radford
2021
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G. Cesa, L. Lang, and M. Weiler, “A program to build e (n)-equivariant steerable cnns,” in
2021
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M. Shridhar, L. Manuelli, and D. Fox, “Cliport: What and where pathways for robotic manipulation,” in
2022
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2022
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2022
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H. Huang
2022
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D. Wang, R. Walters, and R. Platt, “SO (2)-equivariant reinforcement learning,” in
2022
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A. Simeonov
2022
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S. James
2022
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2023
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W. Huang
2023
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2023
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J. Liang
2023
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2023
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H. Huang
2023
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A. Rashid
2023
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OpenAI, “Gpt-4 technical report,” 2023
2023
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A. Kirillov
2023
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2024
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2023
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2025
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