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Imitation learning requires high-quality demonstrations consisting of sequences of state-action pairs.
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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2024
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W. Liu, J. Wang, Y. Wang, W. Wang, and C. Lu, “Forcemimic: Force-centric imitation learning with force-motion capture system for contact-rich manipulation,” in 2025 IEEE International Conference on Robotics and Automation (ICRA) , 2025
2025
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H. Choi, J. E. Low, T. M. Huh, G. A. Uribe, S. Hong, K. A. W. Hoffman, J. Di, T. G. Chen, A. A. Stanley, and M. R. Cutkosky, “Coinft: A coin-sized, capacitive 6-axis force torque sensor for robotic applications,” 2025
2025
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