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Humans display the remarkable ability to sense the world through tools and other held objects.
S. Timoshenko, History of strength of materials: with a brief account of the history of theory of elasticity and theory of structures . McGraw-Hill, 1953
1953
Earlier work this paper cites.
E. O. Brigham and R. E. Morrow, “The fast fourier transform,” IEEE Spectrum , vol. 4, no. 12, pp. 63–70, 1967
1967
Earlier work this paper cites.
M. A. Kramer, “Nonlinear principal component analysis using autoassociative neural networks,” AIChE journal , vol. 37, no. 2, pp. 233–243, 1991
1991
Earlier work this paper cites.
B. E. Boser, I. M. Guyon, and V. N. Vapnik, “A training algorithm for optimal margin classifiers,” in Proceedings of the fifth annual workshop on Computational learning theory , 1992, pp. 144–152
1992
Earlier work this paper cites.
M. R. Cutkosky, “Dynamic Tactile Sensing: Perception of Fine Surface Features with Stress Rate Sensing,” IEEE Trans. on Robots and Auto. , vol. 9, no. 2, pp. 140–151, 1993
1993
Earlier work this paper cites.
R. L. Klatzky and S. J. Lederman, “Tactile roughness perception with a rigid link interposed between skin and surface,” Perception and Psychophysics , vol. 61, no. 4, pp. 591–607, 1999
1999
Earlier work this paper cites.
A. J. Smola and B. Schölkopf, “A tutorial on support vector regression,” Statistics and computing , vol. 14, no. 3, pp. 199–222, 2004
2004
Earlier work this paper cites.
J. H. Solomon and M. J. Hartmann, “Biomechanics: Robotic whiskers used to sense features,” Nature , vol. 443, no. 7111, p. 525, 2006
2006
Earlier work this paper cites.
J. A. Fishel, V. J. Santos, and G. E. Loeb, “A robust micro-vibration sensor for biomimetic fingertips,” in IEEE RAS & EMBS Intl. Conf. on Biomedical Rob. and Biomechatronics . IEEE, 2008, pp. 659–663
2008
Earlier work this paper cites.
A. Schneider, J. Sturm, C. Stachniss, M. Reisert, H. Burkhardt, and W. Burgard, “Object identification with tactile sensors using bag-of-features,” in Intl. Conf. on Intelligent Robots and Systems . IEEE, 2009, pp. 243–248
2009
Earlier work this paper cites.
R. S. Johansson and J. R. Flanagan, “Coding and use of tactile signals from the fingertips in object manipulation tasks,” Nature Reviews Neuroscience , vol. 10, no. 5, pp. 345–359, 2009
2009
Earlier work this paper cites.
V. Nair and G. E. Hinton, “Rectified linear units improve restricted boltzmann machines,” in Proceedings of the 27th International Conference on International Conference on Machine Learning , 2010, pp. 807–814
2010
Earlier work this paper cites.
J. M. Romano, K. Hsiao, G. Niemeyer, S. Chitta, and K. J. Kuchenbecker, “Human-inspired robotic grasp control with tactile sensing,” IEEE Transactions on Robotics , vol. 27, no. 6, pp. 1067–1079, 2011
2011
Earlier work this paper cites.
Z. Pezzementi, E. Plaku, C. Reyda, and G. D. Hager, “Tactile-object recognition from appearance information,” IEEE Transactions on Robotics , vol. 27, no. 3, pp. 473–487, 2011
2011
Earlier work this paper cites.
A. Khurshid, A. Ghafoor, and M. A. Malik, “Robotic grasping and fine manipulation using soft fingertip,” in Advances in Mechatronics . IntechOpen, 2011
2011
Earlier work this paper cites.
J. A. Fishel and G. E. Loeb, “Bayesian exploration for intelligent identification of textures,” Frontiers in Neurorobotics , vol. 6, no. JUNE, pp. 1–20, 2012
2012
Earlier work this paper cites.
H. Soh, Y. Su, and Y. Demiris, “Online spatio-temporal Gaussian process experts with application to tactile classification,” in Intl. Conf. on Intelligent Robots and Systems . IEEE, 2012, pp. 4489–4496
2012
Earlier work this paper cites.
J. M. Romano and K. J. Kuchenbecker, “Methods for robotic tool-mediated haptic surface recognition,” IEEE Haptics Symposium, HAPTICS , pp. 49–56, 2014
2014
Cited alongside, same era.
M. R. Cutkosky and J. Ulmen, “Dynamic tactile sensing,” in The Human Hand as an Inspiration for Robot Hand Development . Springer, 2014, pp. 389–403
2014
Cited alongside, same era.
H. Soh and Y. Demiris, “Incrementally learning objects by touch: Online discriminative and generative models for tactile-based recognition,” IEEE Transactions on Haptics , vol. 7, no. 4, pp. 512–525, 2014
2014
Cited alongside, same era.
M. Madry, L. Bo, D. Kragic, and D. Fox, “St-hmp: Unsupervised spatio-temporal feature learning for tactile data,” in Intl. Conf. on Robotics and Automation . IEEE, 2014, pp. 2262–2269
2014
Cited alongside, same era.
L. E. Miller, L. Montroni, E. Koun, R. Salemme, V. Hayward, and A. Farnè, “Sensing with tools extends somatosensory processing beyond the body,” Nature , vol. 561, no. 7722, pp. 239–242, 2018
2018
Later among the works it cites.
H. Liu and F. Sun, “Material Identification Using Tactile Perception: A Semantics-Regularized Dictionary Learning Method,” IEEE/ASME Transactions on Mechatronics , vol. 23, no. 3, pp. 1050–1058, 2018
2018
Later among the works it cites.
W. Chen, H. Khamis, I. Birznieks, N. F. Lepora, and S. J. Redmond, “Tactile Sensors for Friction Estimation and Incipient Slip Detection - Toward Dexterous Robotic Manipulation: A Review,” IEEE Sensors Journal , vol. 18, no. 22, pp. 9049–9064, 2018
2018
Later among the works it cites.
A. Yamaguchi and C. G. Atkeson, “Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?1,” Advanced Robotics , vol. 33, no. 14, pp. 661–673, 2019
2019
Later among the works it cites.
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S. Luo, W. Mou, M. Li, K. Althoefer, and H. Liu, “Rotation and translation invariant object recognition with a tactile sensor,” Proceedings of IEEE Sensors , vol. 2014-December, no. December, pp. 1030–1033, 2014
2014
Cited alongside, same era.
H. Hoffmann, Z. Chen, D. Earl, D. Mitchell, B. Salemi, and J. Sinapov, “Adaptive robotic tool use under variable grasps,” Robots and Autonomous Systems , vol. 62, no. 6, pp. 833–846, 2014
2014
Cited alongside, same era.
N. Hendrich, H. Bistry, J. Liebrecht, and J. Zhang, “Natural Robot-Human Handover Combining Force and Tactile Sensors,” Workshop on Assistance and Service Robotics in a Human Environment, IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems , pp. 1–7, 2014
2014
Cited alongside, same era.
2014
Cited alongside, same era.
D. Silvera-Tawil, D. Rye, and M. Velonaki, “Artificial skin and tactile sensing for socially interactive robots: A review,” Robots and Autonomous Systems , vol. 63, no. P3, pp. 230–243, 2015
2015
Cited alongside, same era.
Z. Kappassov, J. A. Corrales, and V. Perdereau, “Tactile sensing in dexterous robot hands - Review,” Robots and Autonomous Systems , vol. 74, pp. 195–220, 2015
2015
Cited alongside, same era.
A. Molchanov, O. Kroemer, Z. Su, and G. S. Sukhatme, “Contact localization on grasped objects using tactile sensing,” in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2016, pp. 216–222
2016
Cited alongside, same era.
M. M. Zhang, M. D. Kennedy, M. Ani Hsieh, and K. Daniilidi, “A triangle histogram for object classification by tactile sensing,” Intl. Conf. on Intelligent Robots and Systems , vol. 2016-November, pp. 4931–4938, 2016
2016
Cited alongside, same era.
T. Bhattacharjee, G. Lee, H. Song, and S. S. Srinivasa, “Towards Robotic Feeding: Role of Haptics in Fork-Based Food Manipulation,” IEEE Robotics and Automation Letters , vol. 4, no. 2, pp. 1485–1492, 2019
2019
Later among the works it cites.
D. Gehrig, A. Loquercio, K. G. Derpanis, and D. Scaramuzza, “End-to-end learning of representations for asynchronous event-based data,” in CVPR , 2019, pp. 5633–5643
2019
Later among the works it cites.
A. Billard and D. Kragic, “Trends and challenges in robot manipulation,” Science , vol. 364, no. 6446, p. eaat8414, 2019
2019
Later among the works it cites.
A. Gómez Eguíluz, I. Rañó, S. A. Coleman, and T. M. McGinnity, “Reliable robotic handovers through tactile sensing,” Autonomous Robots , vol. 43, no. 7, pp. 1623–1637, 2019
2019
Later among the works it cites.
T. Taunyazov, H. F. Koh, Y. Wu, C. Cai, and H. Soh, “Towards effective tactile identification of textures using a hybrid touch approach,” in Intl. Conf. on Robotics and Automation . IEEE, 2019, pp. 4269–4275
2019
Later among the works it cites.
C. Matl, R. Matthew, and R. Bajcsy, “Haptic Perception of Liquids Enclosed in Containers,” Intl. Conf. on Intelligent Robots and Systems , pp. 7142–7149, 2019
2019
Later among the works it cites.
W. W. Lee, Y. J. Tan, H. Yao, S. Li, H. H. See, M. Hon, K. A. Ng, B. Xiong, J. S. Ho, and B. C. K. Tee, “A neuro-inspired artificial peripheral nervous system for scalable electronic skins,” Science Robotics , vol. 4, no. 32, 2019
2019
Later among the works it cites.
T. Callier, A. K. Suresh, and S. J. Bensmaia, “Neural coding of contact events in somatosensory cortex,” Cerebral Cortex , vol. 29, no. 11, pp. 4613–4627, 2019
2019
Later among the works it cites.
T. Taunyazoz, W. Sng, H. H. See, B. Lim, J. Kuan, A. F. Ansari, B. Tee, and H. Soh, “Event-driven visual-tactile sensing and learning for robots,” in Proceedings of Robotics: Science and Systems , July 2020
2020
Later among the works it cites.
H. Yao, P. Li, W. Cheng, W. Yang, Z. Yang, H. P. A. Ali, H. Guo, and B. C. Tee, “Environment-resilient graphene vibrotactile sensitive sensors for machine intelligence,” ACS Materials Letters , vol. 2, no. 8, pp. 986–992, 2020
2020
Later among the works it cites.
T. Zhi-Xuan, H. Soh, and D. Ong, “Factorized inference in deep markov models for incomplete multimodal time series,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 34, no. 06, 2020, pp. 10 334–10 341
2020
Later among the works it cites.
K. Chen, Y. Lee, and H. Soh, “Multi-modal mutual information (mummi) training for robust self-supervised deep reinforcement learning,” in International Conference on Robotics and Automation (ICRA) , 2021
2021
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