Fetching the paper…
Reading the bibliography…
Tactile sensing is essential for dexterous manipulation, yet large-scale human demonstration datasets lack tactile feedback, limiting their effectiveness in skill transfer to robots.
K. O. Hill and G. Meltz, “Fiber bragg grating technology fundamentals and overview,” Journal of lightwave technology , vol. 15, no. 8, pp. 1263–1276, 1997
1997
Earlier work this paper cites.
J.-S. Heo, J.-H. Chung, and J.-J. Lee, “Tactile sensor arrays using fiber bragg grating sensors,” Sensors and Actuators A: Physical , vol. 126, no. 2, pp. 312–327, 2006
2006
Earlier work this paper cites.
S. Park, T. Park, and K. Han, “Real-time monitoring of composite wind turbine blades using fiber bragg grating sensors,” Advanced Composite Materials , vol. 20, no. 1, pp. 39–51, 2011
2011
Earlier work this paper cites.
E. Battaglia, G. Grioli, M. G. Catalano, et al. , “Thimblesense: an individual-digit wearable tactile sensor for experimental grasp studies,” in 2014 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2014, pp. 2728–2735
2014
Earlier work this paper cites.
E. Battaglia, M. Bianchi, A. Altobelli, et al. , “Thimblesense: a fingertip-wearable tactile sensor for grasp analysis,” IEEE transactions on haptics , vol. 9, no. 1, pp. 121–133, 2015
2015
Earlier work this paper cites.
A. Altobelli and A. Altobelli, “Wearable approach: Thimblesense, a fingertip-wearable tactile sensor for grasp analysis,” Haptic Devices for Studies on Human Grasp and Rehabilitation , pp. 43–55, 2016
2016
Earlier work this paper cites.
Y. Duan, M. Andrychowicz, B. Stadie, et al. , “One-shot imitation learning,” Advances in neural information processing systems , vol. 30, 2017
2017
Earlier work this paper cites.
X. Qiao, Z. Shao, W. Bao, et al. , “Fiber bragg grating sensors for the oil industry,” Sensors , vol. 17, no. 3, p. 429, 2017
2017
Earlier work this paper cites.
T. Zhang, Z. McCarthy, O. Jow, et al. , “Deep imitation learning for complex manipulation tasks from virtual reality teleoperation,” in 2018 IEEE international conference on robotics and automation (ICRA) . Ieee, 2018, pp. 5628–5635
2018
Earlier work this paper cites.
S. Sundaram, P. Kellnhofer, Y. Li, et al. , “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.
M. A. Lee, Y. Zhu, P. Zachares, et al. , “Making sense of vision and touch: Learning multimodal representations for contact-rich tasks,” IEEE Transactions on Robotics , vol. 36, no. 3, pp. 582–596, 2020
2020
Earlier work this paper cites.
D. L. Presti, C. Massaroni, C. S. J. Leitao, et al. , “Fiber bragg gratings for medical applications and future challenges: A review,” Ieee Access , vol. 8, pp. 156 863–156 888, 2020
2020
Earlier work this paper cites.
S. Frishman, J. Di, Z. Karachiwalla, et al. , “A multi-axis fbg-based tactile sensor for gripping in space,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2021, pp. 1794–1799
2021
Earlier work this paper cites.
J. DelPreto, C. Liu, Y. Luo, et al. , “Actionsense: A multimodal dataset and recording framework for human activities using wearable sensors in a kitchen environment,” Advances in Neural Information Processing Systems , vol. 35, pp. 13 800–13 813, 2022
2022
Cited alongside, same era.
L. Massari, G. Fransvea, J. D’Abbraccio, et al. , “Functional mimicry of ruffini receptors with fibre bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin,” Nature Machine Intelligence , vol. 4, no. 5, pp. 425–435, 2022
2022
Cited alongside, same era.
Z. Si, Z. Zhu, A. Agarwal, et al. , “Grasp stability prediction with sim-to-real transfer from tactile sensing,” in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2022, pp. 7809–7816
2022
Cited alongside, same era.
H. Li, Y. Zhang, J. Zhu, et al. , “See, hear, and feel: Smart sensory fusion for robotic manipulation,” in Conference on Robot Learning . PMLR, 2023, pp. 1368–1378
2023
Z. Liu, C. Chi, E. Cousineau, et al. , “Maniwav: Learning robot manipulation from in-the-wild audio-visual data,” in 8th Annual Conference on Robot Learning , 2024
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
Y. Luo, C. Liu, Y. J. Lee, et al. , “Adaptive tactile interaction transfer via digitally embroidered smart gloves,” Nature communications , vol. 15, no. 1, p. 868, 2024
2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
R. Gao, H. Li, G. Dharan, et al. , “Sonicverse: A multisensory simulation platform for embodied household agents that see and hear,” in 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 704–711
2023
Cited alongside, same era.
R. Gao, Y. Dou, H. Li, et al. , “The objectfolder benchmark: Multisensory learning with neural and real objects,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 17 276–17 286
2023
Cited alongside, same era.
2023
Cited alongside, same era.
C. Chi, Z. Xu, S. Feng, et al. , “Diffusion policy: Visuomotor policy learning via action diffusion,” The International Journal of Robotics Research , p. 02783649241273668, 2023
2023
Cited alongside, same era.
2023
Cited alongside, same era.
K. Shaw, S. Bahl, and D. Pathak, “Videodex: Learning dexterity from internet videos,” in Conference on Robot Learning . PMLR, 2023, pp. 654–665
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2024
Later among the works it cites.
P. Wu, Y. Shentu, Z. Yi, et al. , “Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators,” in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2024, pp. 12 156–12 163
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
Bambu Lab, “Pa6-cf filament,” 2025, accessed: 2025-02-26. [Online]. Available: https://us.store.bambulab.com/products/pa6-cf?srsltid=AfmBOoocwBZQ9TBJ6sKRYWqYbfMZ__45mSoWDBm2OP8AN9pn2948ooHU
2025
Closest in time.
Formlabs, “Rigid 4000 resin,” 2025, accessed: 2025-02-26. [Online]. Available: https://formlabs.com/store/materials/rigid-4000-resin/
2025
Closest in time.
Amazon, “Amazon product page,” 2025, accessed: 2025-02-26. [Online]. Available: https://a.co/d/8F2Xdk1
2025
Closest in time.