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Most current works in Sim2Real learning for robotic manipulation tasks leverage camera vision that may be significantly occluded by robot hands during the manipulation.
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J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel, “Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World,” in IROS , 2017
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S. Dong, W. Yuan, and E. H. Adelson, “Improved gelsight tactile sensor for measuring geometry and slip,” in IROS , 2017
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S. Luo, J. Bimbo, R. Dahiya, and H. Liu, “Robotic tactile perception of object properties: A review,” Mechatronics , vol. 48, pp. 54–67, 2017
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Cited alongside, same era.
S. Dong, W. Yuan, and E. H. Adelson, “Improved gelsight tactile sensor for measuring geometry and slip,” in IROS , 2017
2017
Cited alongside, same era.
S. Luo, W. Yuan, E. Adelson, A. G. Cohn, and R. Fuentes, “ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition,” ICRA , 2018
2018
Cited alongside, same era.
B. Ward-Cherrier, N. Pestell, L. Cramphorn, B. Winstone, M. E. Giannaccini, J. Rossiter, and N. F. Lepora, “The TacTip Family: Soft Optical Tactile Sensors with 3D-Printed Biomimetic Morphologies,” Soft Robotics , 2018
M. Bauza, O. Canal, and A. Rodriguez, “Tactile Mapping and Localization from High-Resolution Tactile Imprints,” IROS , 2019
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Later among the works it cites.
J.-T. Lee, D. Bollegala, and S. Luo, “”Touching to See” and ”Seeing to Feel”: Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception,” ICRA , 2019
2019
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S. Tian, F. Ebert, D. Jayaraman, M. Mudigonda, C. Finn, R. Calandra, and S. Levine, “Manipulation by feel: Touch-based control with deep predictive models,” in ICRA , 2019
2019
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X. Lin and M. Wiertlewski, “Sensing the Frictional State of a Robotic Skin via Subtractive Color Mixing,” RA-L , 2019
2019
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C. Sferrazza and R. D’Andrea, “Design, motivation and evaluation of a full-resolution optical tactile sensor,” Sensors , 2019
2019
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2018
Cited alongside, same era.
S. Dong, D. Ma, E. Donlon, and A. Rodriguez, “Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip,” ICRA , 2018
2018
Cited alongside, same era.
E. Donlon, S. Dong, M. Liu, J. Li, E. Adelson, and A. Rodriguez, “GelSlim : A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger,” IROS , 2018
2018
Cited alongside, same era.
A. Billard and D. Kragic, “Trends and challenges in robot manipulation,” Science , vol. 364, no. 6446, p. eaat8414, 2019
2019
Cited alongside, same era.
C. Sferrazza, A. Wahlsten, C. Trueeb, and R. D’Andrea, “Ground truth force distribution for learning-based tactile sensing: A finite element approach,” IEEE Access , 2019
2019
Cited alongside, same era.
B. Wu, I. Akinola, J. Varley, and P. Allen, “MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning,” in CoRL , 2019
2019
Cited alongside, same era.
M. Quigley, B. Gerkey, K. Conley, J. Faust, T. Foote, J. Leibs, E. Berger, R. Wheeler, and A. Ng, “ROS: An Open-source Robot Operating System,” Tech. Rep
Cited in the paper.
Later among the works it cites.
C. Sferrazza and R. D’Andrea, “Transfer learning for vision-based tactile sensing,” IROS , 2019
2019
Later among the works it cites.
Z. Ding, N. F. Lepora, and E. Johns, “Sim-to-real transfer for optical tactile sensing,” in ICRA , 2020
2020
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D. F. Gomes, Z. Lin, and S. Luo, “Blocks world of touch: Exploiting the advantages of all-around finger sensing in robot grasping,” Frontiers in Robotics and AI , vol. 7, p. 127, 2020
2020
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D. F. Gomes, A. Wilson, and S. Luo, “Gelsight simulation for sim2real learning,” in ICRA 2020 ViTac Workshop
2020
Later among the works it cites.
C. Sferrazza, T. Bi, and R. D’Andrea, “Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing,” 2020
2020
Later among the works it cites.