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Using tactile sensors for manipulation remains one of the most challenging problems in robotics.
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2020
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M. Lambeta, P.-W. Chou, S. Tian, B. Yang, B. Maloon, V. R. Most, D. Stroud, R. Santos, A. Byagowi, G. Kammerer, D. Jayaraman, and R. Calandra, “DIGIT: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation,” IEEE Robotics and Automation Letters , vol. 5, no. 3, pp. 3838–3845, jul 2020. [Online]. Available: https://doi.org/10.1109%2Flra.2020.2977257
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A. Church, J. Lloyd, N. F. Lepora et al. , “Tactile sim-to-real policy transfer via real-to-sim image translation,” in Conference on Robot Learning . PMLR, 2022, pp. 1645–1654
2022
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M. Oller, M. Planas, D. Berenson, and N. Fazeli, “Manipulation via membranes: High-resolution and highly deformable tactile sensing and control,” 2022
2022
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2022
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Z. Ding, N. F. Lepora, and E. Johns, “Sim-to-real transfer for optical tactile sensing,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2020, pp. 1639–1645
2020
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F. Xiang, Y. Qin, K. Mo, Y. Xia, H. Zhu, F. Liu, M. Liu, H. Jiang, Y. Yuan, H. Wang, L. Yi, A. X. Chang, L. J. Guibas, and H. Su, “SAPIEN: A simulated part-based interactive environment,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2020
2020
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I. Taylor, S. Dong, and A. Rodriguez, “Gelslim3.0: High-resolution measurement of shape, force and slip in a compact tactile-sensing finger,” 2021
2021
Cited alongside, same era.
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2021
Cited alongside, same era.
V. Kakani, X. Cui, M. Ma, and H. Kim, “Vision-based tactile sensor mechanism for the estimation of contact position and force distribution using deep learning,” Sensors , vol. 21, no. 5, p. 1920, 2021
2021
Cited alongside, same era.
Y. She, S. Wang, S. Dong, N. Sunil, A. Rodriguez, and E. Adelson, “Cable manipulation with a tactile-reactive gripper,” The International Journal of Robotics Research , vol. 40, no. 12-14, pp. 1385–1401, 2021. [Online]. Available: https://doi.org/10.1177/02783649211027233
2021
Cited alongside, same era.
2021
Cited alongside, same era.
T. Bi, C. Sferrazza, and R. D’Andrea, “Zero-shot sim-to-real transfer of tactile control policies for aggressive swing-up manipulation,” 2021
2021
Cited alongside, same era.
S. Dong, D. K. Jha, D. Romeres, S. Kim, D. Nikovski, and A. Rodriguez, “Tactile-rl for insertion: Generalization to objects of unknown geometry,” in 2021 IEEE International Conference on Robotics and Automation (ICRA) , 2021, pp. 6437–6443
2021
Cited alongside, same era.
W. Chen, Y. Xu, Z. Chen, P. Zeng, R. Dang, R. Chen, and J. Xu, “Bidirectional sim-to-real transfer for gelsight tactile sensors with cyclegan,” IEEE Robotics and Automation Letters , vol. 7, no. 3, pp. 6187–6194, 2022
2022
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T. Jianu, D. F. Gomes, and S. Luo, “Reducing tactile sim2real domain gaps via deep texture generation networks,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 8305–8311
2022
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J. Xu, S. Kim, T. Chen, A. R. Garcia, P. Agrawal, W. Matusik, and S. Sueda, “Efficient tactile simulation with differentiability for robotic manipulation,” in 6th Annual Conference on Robot Learning , 2022. [Online]. Available: https://openreview.net/forum?id=6BIffCl6gsM
2022
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S. Wang, M. Lambeta, P.-W. Chou, and R. Calandra, “TACTO: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors,” IEEE Robotics and Automation Letters , vol. 7, no. 2, pp. 3930–3937, apr 2022. [Online]. Available: https://doi.org/10.1109%2Flra.2022.3146945
2022
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S. Sellán, Y.-C. Chen, Z. Wu, A. Garg, and A. Jacobson, “Breaking bad: A dataset for geometric fracture and reassembly,” 2022
2022
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Z. Liu, H. Mao, C.-Y. Wu, C. Feichtenhofer, T. Darrell, and S. Xie, “A convnet for the 2020s,” 2022
2022
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C. Higuera, B. Boots, and M. Mukadam, “Learning to read braille: Bridging the tactile reality gap with diffusion models,” 2023
2023
Later among the works it cites.
Y. Zhao, X. Jing, K. Qian, D. F. Gomes, and S. Luo, “Skill generalization of tubular object manipulation with tactile sensing and sim2real learning,” Robotics and Autonomous Systems , vol. 160, p. 104321, 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S092188902200210X
2023
Later among the works it cites.
S. Kim, D. K. Jha, D. Romeres, P. Patre, and A. Rodriguez, “Simultaneous tactile estimation and control of extrinsic contact,” 2023
2023
Later among the works it cites.
N. Sunil, S. Wang, Y. She, E. Adelson, and A. R. Garcia, “Visuotactile affordances for cloth manipulation with local control,” in Proceedings of The 6th Conference on Robot Learning , ser. Proceedings of Machine Learning Research, K. Liu, D. Kulic, and J. Ichnowski, Eds., vol. 205. PMLR, 14–18 Dec 2023, pp. 1596–1606. [Online]. Available: https://proceedings.mlr.press/v205/sunil23a.html
2023
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A. Wilson, H. Jiang, W. Lian, and W. Yuan, “Cable routing and assembly using tactile-driven motion primitives,” 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
Y. Zhao, X. Jing, K. Qian, D. F. Gomes, and S. Luo, “Skill generalization of tubular object manipulation with tactile sensing and sim2real learning,” Robotics and Autonomous Systems , vol. 160, p. 104321, 2023
2023
Later among the works it cites.