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Cotraining with demonstration data generated both in simulation and on real hardware has emerged as a promising recipe for scaling imitation learning in robotics.
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C. Chi, Z. Xu, S. Feng, E. Cousineau, Y. Du, B. Burchfiel, R. Tedrake, and S. Song, “Diffusion policy: Visuomotor policy learning via action diffusion,” The International Journal of Robotics Research , 2024
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T. Z. Zhao, S. Karamcheti, T. Kollar, C. Finn, and P. Liang, “What makes representation learning from videos hard for control?” RSS Workshop on Scaling Robot Learning, 2022
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