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Real-world robotic tasks stretch over extended horizons and encompass multiple stages.
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M. Deitke, W. Han, A. Herrasti, A. Kembhavi, E. Kolve, R. Mottaghi, J. Salvador, D. Schwenk, E. VanderBilt, M. Wallingford, L. Weihs, M. Yatskar, and A. Farhadi, “Robothor: An open simulation-to-real embodied AI platform,” in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020 . Computer Vision Foundation / IEEE, 2020, pp. 3161–3171. [Online]. Available: https://openaccess.thecvf.com/content_CVPR_2020/html/Deitke_RoboTHOR_An_Open_Simulation-to-Real_Embodied_AI_Platform_CVPR_2020_paper.html
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2023
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2023
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2023
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2023
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2023
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M. Shridhar, L. Manuelli, and D. Fox, “Perceiver-actor: A multi-task transformer for robotic manipulation,” in Conference on Robot Learning . PMLR, 2023, pp. 785–799
2023
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2023
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K. Xu, Z. Hu, R. Doshi, A. Rovinsky, V. Kumar, A. Gupta, and S. Levine, “Dexterous manipulation from images: Autonomous real-world rl via substep guidance,” in 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 5938–5945
2023
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