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Tactile sensing is a necessary capability for a robotic hand to perform fine manipulations and interact with the environment.
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A. C. Abad and A. Ranasinghe, “Visuotactile sensors with emphasis on gelsight sensor: A review,” IEEE Sensors Journal , vol. 20, no. 14, pp. 7628–7638, 2020
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2020
O. Azulay, I. Ben-David, and A. Sintov, “Learning haptic-based object pose estimation for in-hand manipulation control with underactuated robotic hands,” IEEE Transactions on Haptics , pp. 1–12, 2022
2022
Later among the works it cites.
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2022
Later among the works it cites.
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 IEEE Int. Conf. on Rob. & Auto. , 2022, pp. 10 781–10 787
2022
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2022
Later among the works it cites.
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Cited alongside, same era.
A. Padmanabha, F. Ebert, S. Tian, R. Calandra, C. Finn, and S. Levine, “Omnitact: A multi-directional high-resolution touch sensor,” in IEEE Int. Conf. on Rob. & Auto. , 2020, pp. 618–624
2020
Cited alongside, same era.
B. Romero, F. Veiga, and E. Adelson, “Soft, round, high resolution tactile fingertip sensors for dexterous robotic manipulation,” in IEEE Int. Conf. on Rob. & Auto. , 2020, pp. 4796–4802
2020
Cited alongside, same era.
D. F. Gomes, Z. Lin, and S. Luo, “Geltip: A finger-shaped optical tactile sensor for robotic manipulation,” in IEEE/RSJ International Conference on Intelligent Robots and Systems , 2020, pp. 9903–9909
2020
Cited alongside, same era.
P. Piacenza, K. Behrman, B. Schifferer, I. Kymissis, and M. Ciocarlie, “A sensorized multicurved robot finger with data-driven touch sensing via overlapping light signals,” IEEE/ASME Transactions on Mechatronics , vol. 25, no. 5, pp. 2416–2427, 2020
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 IEEE Int. Conf. on Rob. & Auto. , 2021, pp. 6468–6475
2021
Cited alongside, same era.
S. Dikhale, K. Patel, D. Dhingra, I. Naramura, A. Hayashi, S. Iba, and N. Jamali, “Visuotactile 6d pose estimation of an in-hand object using vision and tactile sensor data,” IEEE Robotics and Automation Letters , vol. 7, no. 2, pp. 2148–2155, 2022
2022
Cited alongside, same era.
H. Sun, K. J. Kuchenbecker, and G. Martius, “A soft thumb-sized vision-based sensor with accurate all-round force perception,” Nature Machine Intelligence , vol. 4, no. 2, pp. 135–145, 2022
2022
Later among the works it cites.
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 Conf. on Robot Learning , 2023, pp. 1488–1498
2023
Closest in time.
W. K. Do, B. Jurewicz, and M. Kennedy, “Densetact 2.0: Optical tactile sensor for shape and force reconstruction,” in IEEE Int. Conf. on Rob. & Auto. , 2023, pp. 12 549–12 555
2023
Closest in time.
M. H. Tippur and E. H. Adelson, “Gelsight360: An omnidirectional camera-based tactile sensor for dexterous robotic manipulation,” in IEEE International Conference on Soft Robotics , 2023, pp. 1–8
2023
Closest in time.
2023
Closest in time.