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Teleoperation for robot imitation learning is bottlenecked by hardware availability.
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2020
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2023
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Octo Model Team, D. Ghosh, H. Walke, K. Pertsch, K. Black, O. Mees, S. Dasari, J. Hejna, C. Xu, J. Luo, T. Kreiman, Y. Tan, L. Y. Chen, P. Sanketi, Q. Vuong, T. Xiao, D. Sadigh, C. Finn, and S. Levine, “Octo: An open-source generalist robot policy,” in Proceedings of Robotics: Science and Systems , Delft, Netherlands, 2024
2024
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2024
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X. Cheng, S. Patil, Z. Temel, O. Kroemer, and M. T. Mason, “Enhancing dexterity in robotic manipulation via hierarchical contact exploration,” IEEE Robotics and Automation Letters , vol. 9, no. 1, pp. 390–397, 2024
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C. Wang, H. Shi, W. Wang, R. Zhang, L. Fei-Fei, and C. K. Liu, “Dexcap: Scalable and portable mocap data collection system for dexterous manipulation,” in Robotics: Science and Systems (RSS) , 2024
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Y. J. Ma, S. Sodhani, D. Jayaraman, O. Bastani, V. Kumar, and A. Zhang, “Vip: Towards universal visual reward and representation via value-implicit pre-training,” in International Conference on Learning Representations (ICLR) , 2023
2023
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Y. Qin, W. Yang, B. Huang, K. Van Wyk, H. Su, X. Wang, Y.-W. Chao, and D. Fox, “Anyteleop: A general vision-based dexterous robot arm-hand teleoperation system,” Robotics: Science and Systems (RSS) , 2023
2023
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J. Duan, Y. R. Wang, M. Shridhar, D. Fox, and R. Krishna, “Ar2-d2: Training a robot without a robot,” Conference on Robot Learning (CoRL) , 2023
2023
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M. Xu, Z. Xu, C. Chi, M. Veloso, and S. Song, “Xskill: Cross embodiment skill discovery,” in Conference on Robot Learning . PMLR, 2023, pp. 3536–3555
2023
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C. Wang, L. Fan, J. Sun, R. Zhang, L. Fei-Fei, D. Xu, Y. Zhu, and A. Anandkumar, “Mimicplay: Long-horizon imitation learning by watching human play,” Conference on Robot Learning (CoRL) , 2023
2023
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H. Xiong, H. Fu, J. Zhang, C. Bao, Q. Zhang, Y. Huang, W. Xu, A. Garg, and C. Lu, “Robotube: Learning household manipulation from human videos with simulated twin environments,” in Conference on Robot Learning . PMLR, 2023, pp. 1–10
2023
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J. Fu, A. Rota, S. Li, J. Zhao, Q. Liu, E. Iovene, G. Ferrigno, and E. De Momi, “Recent advancements in augmented reality for robotic applications: A survey,” in Actuators , vol. 12, no. 8. MDPI, 2023, p. 323
2023
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Y.-P. Su, X.-Q. Chen, C. Zhou, L. H. Pearson, C. G. Pretty, and J. G. Chase, “Integrating virtual, mixed, and augmented reality into remote robotic applications: A brief review of extended reality-enhanced robotic systems for intuitive telemanipulation and telemanufacturing tasks in hazardous conditions,” Applied Sciences , vol. 13, no. 22, p. 12129, 2023
2023
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2024
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2024
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P. Wu, Y. Shentu, Z. Yi, X. Lin, and P. Abbeel, “Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2024
2024
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X. Cheng, J. Li, S. Yang, G. Yang, and X. Wang, “Open-television: Teleoperation with immersive active visual feedback,” Conference on Robot Learning (CoRL) , 2024
2024
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2024
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H. Bharadhwaj, A. Gupta, V. Kumar, and S. Tulsiani, “Towards generalizable zero-shot manipulation via translating human interaction plans,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2024, pp. 6904–6911
2024
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J. van Haastregt, M. C. Welle, Y. Zhang, and D. Kragic, “Puppeteer your robot: Augmented reality leader-follower teleoperation,” 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids) , pp. 1019–1026, 2024. [Online]. Available: https://api.semanticscholar.org/CorpusID:271218112
2024
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2024
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F. P. Audonnet, J. Grizou, A. Hamilton, and G. Aragon-Camarasa, “Telesim: A modular and plug-and-play framework for robotic arm teleoperation using a digital twin,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2024, pp. 17 770–17 777
2024
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2024
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Y. Yang, B. Ikeda, G. Bertasius, and D. Szafir, “Arcade: Scalable demonstration collection and generation via augmented reality for imitation learning,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2024
2024
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