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Incorporating touch as a sensing modality for robots can enable finer and more robust manipulation skills.
E. Donlon, S. Dong, M. Liu, J. Li, E. Adelson, and A. Rodriguez, “Gelslim: A high-resolution, compact, robust, and calibrated tactile-sensing finger,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2018, pp. 1927–1934
1934
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N. Chen, H. Zhang, and R. Rink, “Edge tracking using tactile servo,” in Proceedings 1995 IEEE RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots , vol. 2. IEEE, 1995, pp. 84–89
1995
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2003
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K. Suwanratchatamanee, R. Saegusa, M. Matsumoto, and S. Hashimoto, “A simple tactile sensor system for robot manipulator and object edge shape recognition,” in IECON 2007-33rd Annual Conference of the IEEE Industrial Electronics Society . IEEE, 2007, pp. 245–250
2007
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M. K. Johnson and E. H. Adelson, “Retrographic sensing for the measurement of surface texture and shape,” in IEEE Conference on Computer Vision and Pattern Recognition , 2009, pp. 1070–1077
2009
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N. Wettels, J. Fishel, Z. Su, C. Lin, and G. Loeb, “Multi-modal synergistic tactile sensing,” in Tactile sensing in humanoids—Tactile sensors and beyond workshop, 9th IEEE-RAS international conference on humanoid robots , 2009
2009
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M.-Y. Cheng, C.-M. Tsao, Y.-T. Lai, and Y.-J. Yang, “A novel highly-twistable tactile sensing array using extendable spiral electrodes,” in IEEE International Conference on Micro Electro Mechanical Systems , 2009, pp. 92–95
2009
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N. Wettels and G. E. Loeb, “Haptic feature extraction from a biomimetic tactile sensor: force, contact location and curvature,” in IEEE International Conference on Robotics and Biomimetics , 2011, pp. 2471–2478
2011
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Y. Ito, Y. Kim, C. Nagai, and G. Obinata, “Contact state estimation by vision-based tactile sensors for dexterous manipulation with robot hands based on shape-sensing,” International Journal of Advanced Robotic Systems , vol. 8, no. 4, p. 54, 2011
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.
J. A. Fishel and G. E. Loeb, “Sensing tactile microvibrations with the biotac — comparison with human sensitivity,” in 2012 4th IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) , June 2012, pp. 1122–1127
2012
Cited alongside, same era.
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 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2014, pp. 3988–3993
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2016, pp. 770–778
2016
Later among the works it cites.
W. Yuan, S. Dong, and E. H. Adelson, “Gelsight: High-resolution robot tactile sensors for estimating geometry and force,” Sensors , 2017
2017
Later among the works it cites.
S. Dong, W. Yuan, and E. H. Adelson, “Improved gelsight tactile sensor for measuring geometry and slip,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2017, pp. 137–144
2017
Later among the works it cites.
P. Piacenza, W. Dang, E. Hannigan, J. Espinal, I. Hussain, I. Kymissis, and M. Ciocarlie, “Accurate contact localization and indentation depth prediction with an optics-based tactile sensor,” in IEEE International Conference on Robotics and Automation (ICRA) , 2017, pp. 959–965
2017
Later among the works it cites.
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2014
Cited alongside, same era.
J. Reinecke, A. Dietrich, F. Schmidt, and M. Chalon, “Experimental comparison of slip detection strategies by tactile sensing with the biotac® on the dlr hand arm system,” in IEEE international Conference on Robotics and Automation (ICRA) , 2014, pp. 2742–2748
2014
Cited alongside, same era.
Z. Su, K. Hausman, Y. Chebotar, A. Molchanov, G. E. Loeb, G. S. Sukhatme, and S. Schaal, “Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor,” in IEEE-RAS International Conference on Humanoid Robots (Humanoids) , 2015, pp. 297–303
2015
Cited alongside, same era.
W. Yuan, M. A. Srinivasan, and E. H. Adelson, “Estimating object hardness with a gelsight touch sensor,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2016, pp. 208–215
2016
Cited alongside, same era.
A. G. Eguíluz, I. Rañó, S. A. Coleman, and T. M. McGinnity, “Continuous material identification through tactile sensing,” in 2016 International Joint Conference on Neural Networks (IJCNN) . IEEE, 2016, pp. 4955–4961
2016
Cited alongside, same era.
R. Calandra, A. Owens, M. Upadhyaya, W. Yuan, J. Lin, E. H. Adelson, and S. Levine, “The feeling of success: Does touch sensing help predict grasp outcomes?” Conference on Robot Learning (CORL) , pp. 314–323, 2017
2017
Later among the works it cites.
R. Calandra, A. Owens, D. Jayaraman, W. Yuan, J. Lin, J. Malik, E. H. Adelson, and S. Levine, “More than a feeling: Learning to grasp and regrasp using vision and touch,” IEEE Robotics and Automation Letters (RA-L) , vol. 3, no. 4, pp. 3300–3307, 2018
2018
Later among the works it cites.
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 IEEE International Conference on Robotics and Automation (ICRA) , 2019, pp. 818–824
2019
Later among the works it cites.
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 , pp. 1–1, 2020
2020
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