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We present the design of a learning-based compliance controller for assembly operations for industrial robots.
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F. J. Abu-Dakka, B. Nemec, J. A. Jørgensen, T. R. Savarimuthu, N. Krüger, and A. Ude, “Adaptation of manipulation skills in physical contact with the environment to reference force profiles,” Autonomous Robots , vol. 39, no. 2, pp. 199–217, 2015
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T. Hodan, R. Kouskouridas, T.-K. Kim, F. Tombari, K. Bekris, B. Drost, T. Groueix, K. Walas, V. Lepetit, A. Leonardis, C. Steger, F. Michel, C. Sahin, C. Rother, and J. Matas, “A summary of the 4th International Workshop on Recovering 6D Object Pose,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 11129 LNCS, pp. 589–600, 10 2018
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2020
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2020
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P. Kulkarni, J. Kober, R. Babuška, and C. D. Santina, “Learning Assembly Tasks in a Few Minutes by Combining Impedance Control and Residual Recurrent Reinforcement Learning,” Advanced Intelligent Systems , p. 2100095, 9 2021
2021
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K. Ota, D. K. Jha, D. Romeres, J. van Baar, K. A. Smith, T. Semitsu, T. Oiki, A. Sullivan, D. Nikovski, and J. B. Tenenbaum, “Data-efficient learning for complex and real-time physical problem solving using augmented simulation,” IEEE Robotics and Automation Letters , vol. 6, no. 2, pp. 4241–4248, 2021
2021
Closest in time.