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While tactile sensing is widely accepted as an important and useful sensing modality, its use pales in comparison to other sensory modalities like vision and proprioception.
J. Jenner and J. Stephens, “Cutaneous reflex responses and their central nervous pathways studied in man,” The Journal of physiology , vol. 333, no. 1, pp. 405–419, 1982
1982
Earlier work this paper cites.
R. S. Johansson, “Sensory control of dexterous manipulation in humans,” in Hand and brain . Elsevier, 1996, pp. 381–414
1996
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Computation , vol. 9, no. 8, pp. 1735–1780, 1997
1997
Earlier work this paper cites.
N. Wettels, V. J. Santos, R. S. Johansson, and G. E. Loeb, “Biomimetic tactile sensor array,” Advanced robotics , vol. 22, no. 8, pp. 829–849, 2008
2008
Earlier work this paper cites.
G. Falkovich, Fluid Mechanics: A Short Course for Physicists . Cambridge University Press, 2011
2011
Earlier work this paper cites.
T. Bhattacharjee, A. Jain, S. Vaish, M. D. Killpack, and C. C. Kemp, “Tactile sensing over articulated joints with stretchable sensors,” in 2013 World Haptics Conference (WHC) . IEEE, 2013, pp. 103–108
2013
Earlier work this paper cites.
S. Stassi, V. Cauda, G. Canavese, and C. F. Pirri, “Flexible tactile sensing based on piezoresistive composites: A review,” Sensors , vol. 14, no. 3, pp. 5296–5332, 2014
2014
Earlier work this paper cites.
R. Li, R. Platt, W. Yuan, A. Ten Pas, N. Roscup, M. A. Srinivasan, and E. Adelson, “Localization and manipulation of small parts using gelsight tactile sensing,” in 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 2014, pp. 3988–3993
2014
Earlier work this paper cites.
D. Xu, A. Tairych, and I. A. Anderson, “Stretch not flex: programmable rubber keyboard,” Smart Materials and Structures , vol. 25, 2015. [Online]. Available: https://api.semanticscholar.org/CorpusID:111206581
2015
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2016, pp. 770–778
2016
Earlier work this paper cites.
W. Yuan, S. Dong, and E. H. Adelson, “Gelsight: High-resolution robot tactile sensors for estimating geometry and force,” Sensors , vol. 17, no. 12, p. 2762, 2017
2017
Earlier work this paper cites.
T. P. Tomo, M. Regoli, A. Schmitz, L. Natale, H. Kristanto, S. Somlor, L. Jamone, G. Metta, and S. Sugano, “A new silicone structure for uskin—a soft, distributed, digital 3-axis skin sensor and its integration on the humanoid robot icub,” IEEE Robotics and Automation Letters , vol. 3, no. 3, pp. 2584–2591, 2018
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
S. Sundaram, P. Kellnhofer, Y. Li, J.-Y. Zhu, A. Torralba, and W. Matusik, “Learning the signatures of the human grasp using a scalable tactile glove,” Nature , vol. 569, no. 7758, pp. 698–702, 2019
2019
Earlier work this paper cites.
O. Glauser, D. Panozzo, O. Hilliges, and O. Sorkine-Hornung, “Deformation capture via soft and stretchable sensor arrays,” ACM Transactions on Graphics (TOG) , vol. 38, no. 2, pp. 1–16, 2019
2019
Earlier work this paper cites.
T. Hellebrekers, O. Kroemer, and C. Majidi, “Soft magnetic skin for continuous deformation sensing,” Advanced Intelligent Systems , vol. 1, no. 4, p. 1900025, 2019
2019
Earlier work this paper cites.
S. Funabashi, G. Yan, A. Geier, A. Schmitz, T. Ogata, and S. Sugano, “Morphology-specific convolutional neural networks for tactile object recognition with a multi-fingered hand,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 57–63
2019
Earlier work this paper cites.
2019
Cited alongside, same era.
S. Dong and A. Rodriguez, “Tactile-based insertion for dense box-packing,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2019, pp. 7953–7960
2019
Cited alongside, same era.
T.-Y. Wu, L. Tan, Y. Zhang, T. Seyed, and X.-D. Yang, “Capacitivo: Contact-based object recognition on interactive fabrics using capacitive sensing,” in Proceedings of the 33rd annual acm symposium on user interface software and technology , 2020, pp. 649–661
2020
Cited alongside, same era.
M. Lambeta, P.-W. Chou, S. Tian, B. Yang, B. Maloon, V. R. Most, D. Stroud, R. Santos, A. Byagowi, G. Kammerer, et al. , “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, 2020
“Gelsight mini,” https://www.gelsight.com/gelsightmini/ , 2023
2023
Later among the works it cites.
R. Bhirangi, A. DeFranco, J. Adkins, C. Majidi, A. Gupta, T. Hellebrekers, and V. Kumar, “All the feels: A dexterous hand with large-area tactile sensing,” IEEE Robotics and Automation Letters , 2023
2023
Later among the works it cites.
H. Li, Y. Zhang, J. Zhu, S. Wang, M. A. Lee, H. Xu, E. Adelson, L. Fei-Fei, R. Gao, and J. Wu, “See, hear, and feel: Smart sensory fusion for robotic manipulation,” in 6th Annual Conference on Robot Learning , 2023
2023
Later among the works it cites.
H. Qi, B. Yi, S. Suresh, M. Lambeta, Y. Ma, R. Calandra, and J. Malik, “General in-hand object rotation with vision and touch,” in Conference on Robot Learning . PMLR, 2023, pp. 2549–2564
2023
Later among the works it cites.
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2020
Cited alongside, same era.
S. Wang, Y. She, B. Romero, and E. Adelson, “Gelsight wedge: Measuring high-resolution 3d contact geometry with a compact robot finger,” in 2021 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2021, pp. 6468–6475
2021
Cited alongside, same era.
R. Bhirangi, T. Hellebrekers, C. Majidi, and A. Gupta, “Reskin: versatile, replaceable, lasting tactile skins,” in 5th Annual Conference on Robot Learning , 2021
2021
Cited alongside, same era.
Y. Yan, Z. Hu, Z. Yang, W. Yuan, C. Song, J. Pan, and Y. Shen, “Soft magnetic skin for super-resolution tactile sensing with force self-decoupling,” Science Robotics , vol. 6, 2021. [Online]. Available: https://api.semanticscholar.org/CorpusID:232040651
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) . IEEE, 2021, pp. 6437–6443
2021
Cited alongside, same era.
Z. Fu, A. Kumar, A. Agarwal, H. Qi, J. Malik, and D. Pathak, “Coupling vision and proprioception for navigation of legged robots,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2022, pp. 17 273–17 283
2022
Cited alongside, same era.
I. H. Taylor, S. Dong, and A. Rodriguez, “Gelslim 3.0: High-resolution measurement of shape, force and slip in a compact tactile-sensing finger,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 10 781–10 787
2022
Cited alongside, same era.
2022
Cited alongside, same era.
S. Kim and A. Rodriguez, “Active extrinsic contact sensing: Application to general peg-in-hole insertion,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 10 241–10 247
2022
Cited alongside, same era.
V. H. Sundaram, R. Bhirangi, M. E. Rentschler, A. Gupta, and T. Hellebrekers, “Dragonclaw: A low-cost pneumatic gripper with integrated magnetic sensing,” in 2023 IEEE International Conference on Soft Robotics (RoboSoft) . IEEE, 2023, pp. 1–8
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
B. Xu, L. Zhong, G. Zhang, X. Liang, D. Virtue, R. Madan, and T. Bhattacharjee, “Cushsense: Soft, stretchable, and comfortable tactile-sensing skin for physical human-robot interaction,” 2024 IEEE International Conference on Robotics and Automation (ICRA) , pp. 5694–5701, 2024. [Online]. Available: https://api.semanticscholar.org/CorpusID:269605928
2024
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Y. Yuan, H. Che, Y. Qin, B. Huang, Z.-H. Yin, K.-W. Lee, Y. Wu, S.-C. Lim, and X. Wang, “Robot synesthesia: In-hand manipulation with visuotactile sensing,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2024, pp. 6558–6565
2024
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R. Bhirangi, C. Wang, V. Pattabiraman, C. Majidi, A. Gupta, T. Hellebrekers, and L. Pinto, “Hierarchical state space models for continuous sequence-to-sequence modeling,” in Forty-first International Conference on Machine Learning , 2024
2024
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