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We present IMMERTWIN, a mixed reality framework for enhance robotic arm teleoperation using a closed-loop digital twin as a bridge for interaction between the user and the robotic system.
1911
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E. Rosen, D. Whitney, E. Phillips, G. Chien, J. Tompkin, G. Konidaris, and S. Tellex, “Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays,” The International Journal of Robotics Research , vol. 38, no. 12-13, pp. 1513–1526, Oct. 2019, publisher: SAGE Publications Ltd STM. [Online]. Available: https://doi.org/10.1177/0278364919842925
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T.-C. Lin, A. Unni Krishnan, and Z. Li, “Shared Autonomous Interface for Reducing Physical Effort in Robot Teleoperation via Human Motion Mapping,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) , May 2020, pp. 9157–9163, iSSN: 2577-087X
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W. Si, N. Wang, and C. Yang, “A review on manipulation skill acquisition through teleoperation‐based learning from demonstration,” Cognitive Computation and Systems , vol. 3, no. 1, pp. 1–16, Mar. 2021. [Online]. Available: https://onlinelibrary.wiley.com/doi/10.1049/ccs2.12005
2021
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L. Wang, Q. Li, J. Lam, Z. Wang, and Z. Zhang, “Intent inference in shared-control teleoperation system in consideration of user behavior,” Complex & Intelligent Systems , Oct. 2021. [Online]. Available: https://doi.org/10.1007/s40747-021-00533-4
2021
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A. Naceri, D. Mazzanti, J. Bimbo, Y. T. Tefera, D. Prattichizzo, D. G. Caldwell, L. S. Mattos, and N. Deshpande, “The Vicarios Virtual Reality Interface for Remote Robotic Teleoperation: Teleporting for Intuitive Tele-manipulation,” Journal of Intelligent & Robotic Systems , vol. 101, no. 4, p. 80, Apr. 2021. [Online]. Available: https://link.springer.com/10.1007/s10846-021-01311-7
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C. Sun, A. Gupta, G. Berseth, and S. Levine, “Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation,” 2022
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M. Moniruzzaman, A. Rassau, D. Chai, and S. M. S. Islam, “Teleoperation methods and enhancement techniques for mobile robots: A comprehensive survey,” Robotics and Autonomous Systems , vol. 150, p. 103973, Apr. 2022. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S0921889021002414
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2022
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A. Gottardi, S. Tortora, E. Tosello, and E. Menegatti, “Shared Control in Robot Teleoperation With Improved Potential Fields,” IEEE Transactions on Human-Machine Systems , pp. 1–13, 2022, conference Name: IEEE Transactions on Human-Machine Systems
2022
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Y. Su, X. Chen, T. Zhou, C. Pretty, and G. Chase, “Mixed reality-integrated 3D/2D vision mapping for intuitive teleoperation of mobile manipulator,” Robotics and Computer-Integrated Manufacturing , vol. 77, p. 102332, Oct. 2022. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S0736584522000217
2022
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N. Bechtel, B. Weber, P. Severin, J. Sancho Aragon, L. Van Bogaert, and M. Panzirsch, “Toward physically realistic vision in teleoperation: A user study with light-field head mounted display and 6-DoF head motion,” Journal of the Society for Information Display , vol. 31, no. 12, pp. 663–674, 2023, _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsid.1262. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/jsid.1262
2023
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M.-A. Moinnereau, A. A. Oliveira, and T. H. Falk, “Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study,” Frontiers in Neuroergonomics , vol. 4, p. 1189179, Jul. 2023. [Online]. Available: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10790866/
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