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Vision-Language-Action (VLA) models are receiving increasing attention for their ability to enable robots to perform complex tasks by integrating visual context with linguistic commands.
Dual-processing accounts of reasoning, judgment, and social cognition
J. S. B. Evans · 2008
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Thinking, fast and slow
D. Kahneman · 2011
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Y. Bengio · 2017
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Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, G. Krueger, and I. Sutskever · 2021
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Flamingo: a visual language model for few-shot learning
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Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks
O. Mees, L. Hermann, E. Rosete-Beas, and W. Burgard · 2022
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What matters in learning from offline human demonstrations for robot manipulation
A. Mandlekar, D. Xu, J. Wong, S. Nasiriany, C. Wang, R. Kulkarni, L. Fei-Fei, S. Savarese, Y. Zhu, and R. Martín-Martín · 2022
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Llama: Open and efficient foundation language models
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, March 2023
W.-L. Chiang, Z. Li, Z. Lin, Y. Sheng, Z. Wu, H. Zhang, L. Zheng, S. Zhuang, Y. Zhuang, J. E. Gonzalez, I. Stoica, and E. P. Xing · 2023
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A. Q. Jiang, A. Sablayrolles, A. Mensch, C. Bamford, D. S. Chaplot, D. d. l. Casas, F. Bressand, G. Lengyel, G. Lample, L. Saulnier, et al · 2023
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Visual instruction tuning
H. Liu, C. Li, Q. Wu, and Y. J. Lee · 2023
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, X. Chen, K. Choromanski, T. Ding, D. Driess, A. Dubey, C. Finn, et al · 2023
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Vision-language foundation models as effective robot imitators
X. Li, M. Liu, H. Zhang, C. Yu, J. Xu, H. Wu, C. Cheang, Y. Jing, W. Zhang, H. Liu, H. Li, and T. Kong · 2023
Llara: Supercharging robot learning data for vision-language policy
X. Li, C. Mata, J. Park, K. Kahatapitiya, Y. S. Jang, J. Shang, K. Ranasinghe, R. Burgert, M. Cai, Y. J. Lee, et al · 2024
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Llarva: Vision-action instruction tuning enhances robot learning
D. Niu, Y. Sharma, G. Biamby, J. Quenum, Y. Bai, B. Shi, T. Darrell, and R. Herzig · 2024
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Open x-embodiment: Robotic learning datasets and rt-x models : Open x-embodiment collaboration0
O. et al · 2024
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Robocasa: Large-scale simulation of everyday tasks for generalist robots
S. Nasiriany, A. Maddukuri, L. Zhang, A. Parikh, A. Lo, A. Joshi, A. Mandlekar, and Y. Zhu · 2024
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Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation
Z. Fu, T. Z. Zhao, and C. Finn · 2024
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Mimicgen: A data generation system for scalable robot learning using human demonstrations
A. Mandlekar, S. Nasiriany, B. Wen, I. Akinola, Y. Narang, L. Fan, Y. Zhu, and D. Fox · 2023
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OpenAI · 2024
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Openvla: An open-source vision-language-action model
M. J. Kim, K. Pertsch, S. Karamcheti, T. Xiao, A. Balakrishna, S. Nair, R. Rafailov, E. Foster, G. Lam, P. Sanketi, et al · 2024
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Droid: A large-scale in-the-wild robot manipulation dataset
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Interactive continual learning: Fast and slow thinking
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Octo: An open-source generalist robot policy
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