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Vision-Language-Action (VLA) models have recently shown impressive generalization and language-guided manipulation capabilities.
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M. Roberts, J. Ramapuram, A. Ranjan, A. Kumar, M. A. Bautista, N. Paczan, R. Webb, and J. M. Susskind, “Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding,” in International Conference on Computer Vision (ICCV) 2021 , 2021
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C. Yeshwanth, Y.-C. Liu, M. Nießner, and A. Dai, “Scannet++: A high-fidelity dataset of 3d indoor scenes,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023, pp. 12–22
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H. Walke, K. Black, A. Lee, M. J. Kim, M. Du, C. Zheng, T. Zhao, P. Hansen-Estruch, Q. Vuong, A. He, V. Myers, K. Fang, C. Finn, and S. Levine, “Bridgedata v2: A dataset for robot learning at scale,” in Conference on Robot Learning (CoRL) , 2023
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M. Oquab, T. Darcet, T. Moutakanni, H. V. Vo, M. Szafraniec, V. Khalidov, P. Fernandez, D. Haziza, F. Massa, A. El-Nouby, R. Howes, P.-Y. Huang, H. Xu, V. Sharma, S.-W. Li, W. Galuba, M. Rabbat, M. Assran, N. Ballas, G. Synnaeve, I. Misra, H. Jegou, J. Mairal, P. Labatut, A. Joulin, and P. Bojanowski, “Dinov2: Learning robust visual features without supervision,” 2023
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2024
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Octo Model Team, D. Ghosh, H. Walke, K. Pertsch, K. Black, O. Mees, S. Dasari, J. Hejna, C. Xu, J. Luo, T. Kreiman, Y. Tan, L. Y. Chen, P. Sanketi, Q. Vuong, T. Xiao, D. Sadigh, C. Finn, and S. Levine, “Octo: An open-source generalist robot policy,” in Proceedings of Robotics: Science and Systems , Delft, Netherlands, 2024
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S. Tong, Z. Liu, Y. Zhai, Y. Ma, Y. LeCun, and S. Xie, “Eyes wide shut? exploring the visual shortcomings of multimodal llms,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2024, pp. 9568–9578
2024
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P. Rahmanzadehgervi, L. Bolton, M. R. Taesiri, and A. T. Nguyen, “Vision language models are blind,” in Proceedings of the Asian Conference on Computer Vision (ACCV) , December 2024, pp. 18–34
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L. Yang, B. Kang, Z. Huang, X. Xu, J. Feng, and H. Zhao, “Depth anything: Unleashing the power of large-scale unlabeled data,” in CVPR , 2024
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2025
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Q. Zhao, Y. Lu, M. J. Kim, Z. Fu, Z. Zhang, Y. Wu, Z. Li, Q. Ma, S. Han, C. Finn, A. Handa, T.-Y. Lin, G. Wetzstein, M.-Y. Liu, and D. Xiang, “Cot-vla: Visual chain-of-thought reasoning for vision-language-action models,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2025, pp. 1702–1713
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