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Vision-language-action (VLA) models present a promising paradigm by training policies directly on real robot datasets like Open X-Embodiment.
2017
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A. Mandlekar, J. Booher, M. Spero, A. Tung, A. Gupta, Y. Zhu, A. Garg, S. Savarese, and L. Fei-Fei, “Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity,” in
2019
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D. Whitney, E. Rosen, E. Phillips, G. Konidaris, and S. Tellex, “Comparing robot grasping teleoperation across desktop and virtual reality with ros reality,” in
2019
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M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik,
2019
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W. Zhao, J. P. Queralta, and T. Westerlund, “Sim-to-real transfer in deep reinforcement learning for robotics: a survey,” in
2020
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H. Ravichandar, A. S. Polydoros, S. Chernova, and A. Billard, “Recent advances in robot learning from demonstration,”
2020
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M. Shridhar, J. Thomason, D. Gordon, Y. Bisk, W. Han, R. Mottaghi, L. Zettlemoyer, and D. Fox, “Alfred: A benchmark for interpreting grounded instructions for everyday tasks,” in
2020
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F. Xiang, Y. Qin, K. Mo, Y. Xia, H. Zhu, F. Liu, M. Liu, H. Jiang, Y. Yuan, H. Wang,
2020
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2021
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2021
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2022
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F. Muratore, F. Ramos, G. Turk, W. Yu, M. Gienger, and J. Peters, “Robot learning from randomized simulations: A review,”
2022
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E. Jang, A. Irpan, M. Khansari, D. Kappler, F. Ebert, C. Lynch, S. Levine, and C. Finn, “Bc-z: Zero-shot task generalization with robotic imitation learning,” in
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C. Saharia, W. Chan, S. Saxena, L. Li, J. Whang, E. L. Denton, K. Ghasemipour, R. Gontijo Lopes, B. Karagol Ayan, T. Salimans,
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R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in
2022
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2023
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2023
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J. Gu, F. Xiang, X. Li, Z. Ling, X. Liu, T. Mu, Y. Tang, S. Tao, X. Wei, Y. Yao,
2024
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Y. Du, S. Yang, B. Dai, H. Dai, O. Nachum, J. Tenenbaum, D. Schuurmans, and P. Abbeel, “Learning universal policies via text-guided video generation,”
2024
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L. Y. Chen, C. Xu, K. Dharmarajan, M. Z. Irshad, R. Cheng, K. Keutzer, M. Tomizuka, Q. Vuong, and K. Goldberg, “Rovi-aug: Robot and viewpoint augmentation for cross-embodiment robot learning,” in
2024
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T. Ren, S. Liu, A. Zeng, J. Lin, K. Li, H. Cao, J. Chen, X. Huang, Y. Chen, F. Yan, Z. Zeng, H. Zhang, F. Li, J. Yang, H. Li, Q. Jiang, and L. Zhang, “Grounded sam: Assembling open-world models for diverse visual tasks,” 2024
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2023
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2023
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T. Yu, T. Xiao, A. Stone, J. Tompson, A. Brohan, S. Wang, J. Singh, C. Tan, J. Peralta, B. Ichter,
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S. Zhou, C. Li, K. C. Chan, and C. C. Loy, “ProPainter: Improving propagation and transformer for video inpainting,” in
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L. Wang, R. Guo, Q. Vuong, Y. Qin, H. Su, and H. Christensen, “A real2sim2real method for robust object grasping with neural surface reconstruction,” in
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2024
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2024
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