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Deep imitation learning is promising for robot manipulation because it only requires demonstration samples.
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T. Zhang, Z. McCarthy, O. Jow, D. Lee, X. Chen, K. Goldberg, and P. Abbeel, “Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,” in International Conference on Robotics and Automation , 2018, pp. 1–8
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H. Kim, Y. Ohmura, and Y. Kuniyoshi, “Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation,” Robotics and Automation Letters , pp. 1–1, 2021
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H. Kim, Y. Ohmura, and Y. Kuniyoshi, “Transformer-based deep imitation learning for dual-arm robot manipulation,” in International Conference on Intelligent Robots and Systems , 2021
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