Fetching the paper…
Reading the bibliography…
Hardness is among the most important attributes of an object that humans learn about through touch.
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel, “Backpropagation applied to handwritten zip code recognition,” Neural computation , vol. 1, no. 4, pp. 541–551, 1989
1989
Earlier work this paper cites.
S. Omata and Y. Terunuma, “New tactile sensor like the human hand and its applications,” Sensors and Actuators A: Physical , vol. 35, no. 1, pp. 9–15, 1992
1992
Earlier work this paper cites.
S. J. Lederman and R. L. Klatzky, “Extracting object properties through haptic exploration,” Acta psychologica , vol. 84, no. 1, pp. 29–40, 1993
1993
Earlier work this paper cites.
M. A. Srinivasan and R. H. LaMotte, “Tactual discrimination of softness,” Journal of Neurophysiology , vol. 73, no. 1, pp. 88–101, 1995
1995
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.
O. Lindahl, S. Omata, and K.-A. Ängquist, “A tactile sensor for detection of physical properties of human skin in vivo,” Journal of medical engineering & technology , vol. 22, no. 4, pp. 147–153, 1998
1998
Earlier work this paper cites.
N. J. Ferrier and R. W. Brockett, “Reconstructing the shape of a deformable membrane from image data,” The International Journal of Robotics Research , vol. 19, no. 9, pp. 795–816, 2000
2000
Earlier work this paper cites.
T. Shimizu, M. Shikida, K. Sato, and K. Itoigawa, “A new type of tactile sensor detecting contact force and hardness of an object,” in Micro Electro Mechanical Systems, 2002. The Fifteenth IEEE International Conference on . IEEE, 2002, pp. 344–347
2002
Earlier work this paper cites.
M. Takei, H. Shiraiwa, S. Omata, N. Motooka, K. Mitamura, T. Horie, T. Ookubo, and S. Sawada, “A new tactile skin sensor for measuring skin hardness in patients with systemic sclerosis and autoimmune raynaud’s phenomenon,” Journal of international medical research , vol. 32, no. 2, pp. 222–231, 2004
2004
Earlier work this paper cites.
K. Kamiyama, K. Vlack, T. Mizota, H. Kajimoto, K. Kawakami, and S. Tachi, “Vision-based sensor for real-time measuring of surface traction fields,” IEEE Computer Graphics and Applications , vol. 25, no. 1, pp. 68–75, 2005
2005
Cited alongside, same era.
M. K. Johnson and E. Adelson, “Retrographic sensing for the measurement of surface texture and shape,” in Computer Vision and Pattern Recognition (CVPR), 2009 IEEE Conference on . IEEE, 2009, pp. 1070–1077
2009
Cited alongside, same era.
C. Chorley, C. Melhuish, T. Pipe, and J. Rossiter, “Development of a tactile sensor based on biologically inspired edge encoding,” in Advanced Robotics, 2009. ICAR 2009. International Conference on . IEEE, 2009, pp. 1–6
2009
Cited alongside, same era.
W. M. B. Tiest and A. M. Kappers, “Cues for haptic perception of compliance,” IEEE Transactions on Haptics , vol. 2, no. 4, pp. 189–199, 2009
2009
Cited alongside, same era.
2014
Later among the works it 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 Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on . IEEE, 2014, pp. 3988–3993
2014
Later among the works it cites.
A. Drimus, G. Kootstra, A. Bilberg, and D. Kragic, “Design of a flexible tactile sensor for classification of rigid and deformable objects,” Robotics and Autonomous Systems , vol. 62, no. 1, pp. 3–15, 2014
2014
Later among the works it cites.
Z. Su, J. A. Fishel, T. Yamamoto, and G. E. Loeb, “Use of tactile feedback to control exploratory movements to characterize object compliance,” Active Touch Sensing , p. 51, 2014
2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
R. S. Dahiya, G. Metta, M. Valle, and G. Sandini, “Tactile sensing—from humans to humanoids,” IEEE Transactions on Robotics , vol. 26, no. 1, pp. 1–20, 2010
2010
Cited alongside, same era.
M. K. Johnson, F. Cole, A. Raj, and E. H. Adelson, “Microgeometry capture using an elastomeric sensor,” in ACM Transactions on Graphics (TOG) , vol. 30, no. 4. ACM, 2011, p. 46
2011
Cited alongside, same era.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Advances in neural information processing systems , 2012, pp. 1097–1105
2012
Cited alongside, same era.
X. Jia, R. Li, M. A. Srinivasan, and E. H. Adelson, “Lump detection with a gelsight sensor,” in World Haptics Conference (WHC), 2013 . IEEE, 2013, pp. 175–179
2013
Cited alongside, same era.
V. Chu, I. McMahon, L. Riano, C. G. McDonald, Q. He, J. Martinez Perez-Tejada, M. Arrigo, N. Fitter, J. C. Nappo, T. Darrell, et al. , “Using robotic exploratory procedures to learn the meaning of haptic adjectives,” in Robotics and Automation (ICRA), 2013 IEEE International Conference on . IEEE, 2013, pp. 3048–3055
2013
Cited alongside, same era.
W. Yuan, R. Li, M. A. Srinivasan, and E. H. Adelson, “Measurement of shear and slip with a gelsight tactile sensor,” in Robotics and Automation (ICRA), 2015 IEEE International Conference on . IEEE, 2015, pp. 304–311
2015
Later among the works it cites.
2015
Later among the works it cites.
J. Donahue, L. A. Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell, “Long-term recurrent convolutional networks for visual recognition and description,” CVPR , 2015
2015
Later among the works it cites.
W. Yuan, M. A. Srinivasan, and E. Adelson, “Estimating object hardness with a gelsight touch sensor,” in Intelligent Robots and Systems (IROS 2016), 2016 IEEE/RSJ International Conference on . IEEE, 2016
2016
Later among the works it cites.