{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T20:50:15Z","timestamp":1760820615088,"version":"3.41.2"},"reference-count":42,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2014,4,29]],"date-time":"2014-04-29T00:00:00Z","timestamp":1398729600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,4,29]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 Tactile sensing is the process of determining physical properties and events through contact with objects in the world. The purpose of this paper is to establish a novel design of an adaptive neuro-fuzzy inference system (ANFIS) for estimation of contact position of a new tactile sensing structure. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 The major task is to investigate implementations of carbon-black-filled silicone rubber for tactile sensation; the silicone rubber is electrically conductive and its resistance changes by loading or unloading strains. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The sensor-elements for the tactile sensing structure were made by press-curing from carbon-black-filled silicone rubber. The experimental results can be used as training and checking data for the ANFIS network. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 This system is capable to find any change of contact positions and thus indicates state of the current contact location of the tactile sensing structure. The behavior of the use silicone rubber shows strong non-linearity, therefore, the sensor cannot be used for high accurate measurements. The greatest advantage of this sensing material lies in its high elasticity.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/k-03-2013-0041","type":"journal-article","created":{"date-parts":[[2014,5,29]],"date-time":"2014-05-29T11:39:19Z","timestamp":1401363559000},"page":"783-796","source":"Crossref","is-referenced-by-count":7,"title":["Contact positions estimation of sensing structure using adaptive neuro-fuzzy inference system"],"prefix":"10.1108","volume":"43","author":[{"given":"Dalibor","family":"Petkovic","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirna","family":"Issa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nenad","family":"D. Pavlovic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lena","family":"Zentner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md","family":"Nor Ridzuan Daud","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahaboddin","family":"Shamshirband","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2021010123165741200_b2","doi-asserted-by":"crossref","unstructured":"Akcayol, M.A.\n (2004), \u201cApplication of adaptive neuro-fuzzy controller for SRM\u201d, Advances in Engineering Software, Vol. 35 Nos 3-4, pp. 129-137.","DOI":"10.1016\/j.advengsoft.2004.03.005"},{"key":"key2021010123165741200_b1","doi-asserted-by":"crossref","unstructured":"Aldair, A.A.\n and \n Wang, W.J.\n (2011), \u201cDesign an intelligent controller for full vehicle nonlinear active suspension systems\u201d, International Journal on Smart Sensing and Intelligent Systems, Vol. 4 No. 2, pp. 224-243.","DOI":"10.21307\/ijssis-2017-437"},{"key":"key2021010123165741200_b3","doi-asserted-by":"crossref","unstructured":"Alirezaei, H.\n , \n Nagakubo, A.\n and \n Kuniyoshi, Y.\n (2007), \u201cA highly stretchable tactile distribution sensor for smooth surfaced humanoids\u201d, 7th IEEE-RAS International Conference on Humanoid Robots, Pittsburgh, PA, pp. 167-173.","DOI":"10.1109\/ICHR.2007.4813864"},{"key":"key2021010123165741200_b4","doi-asserted-by":"crossref","unstructured":"Beebe, D.J.\n , \n Denton, D.D.\n , \n Radwin, R.G.\n and \n Webster, J.G.\n (1998), \u201cA silicon-based tactile sensor for finger-mounted applications\u201d, IEEE Transactions on Biomedical Engineering, Vol. 45 No. 2, pp. 151-159.","DOI":"10.1109\/10.661263"},{"key":"key2021010123165741200_b6","doi-asserted-by":"crossref","unstructured":"Cannata, G.\n and \n Maggiali, M.\n (2005), \u201cAn embedded tactile and force sensor for robotic manipulation and grasping\u201d, 5th IEEE-RAS International Conference on Humanoid Robots, Tsukuba, pp. 80-85.","DOI":"10.1109\/ICHR.2005.1573549"},{"key":"key2021010123165741200_b5","doi-asserted-by":"crossref","unstructured":"Cannata, G.\n , \n Maggiali, M.\n , \n Metta, G.\n and \n Sandini, G.\n (2008), \u201cAn embedded artificial skin for humanoid robots\u201d, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Seoul, pp. 434-438.","DOI":"10.1109\/MFI.2008.4648033"},{"key":"key2021010123165741200_b7","doi-asserted-by":"crossref","unstructured":"Cheng, M.-Y.\n , \n Tsao, C.-M.\n , \n Lai, Y.-Z.\n and \n Yang, Y.-J.\n (2011), \u201cThe development of a highly twistable tactile sensing array with stretchable helical electrodes\u201d, Sensors and Actuators A, Vol. 166 No. 2, pp. 226-233.","DOI":"10.1016\/j.sna.2009.12.009"},{"key":"key2021010123165741200_b8","unstructured":"Dastranj, M.R.\n , \n Ebroahimi, E.\n , \n Changizi, N.\n and \n Sameni, E.\n (2011), \u201cControl DC motor speed with adaptive neuro-fuzzy control (ANFIS)\u201d, Australian Journal of Basic and Applied Sciences, Vol. 5 No. 10, pp. 1499-1504."},{"key":"key2021010123165741200_b9","doi-asserted-by":"crossref","unstructured":"Dong-Ki, K.\n , \n Jong-Ho, K.\n , \n Young-Tae, K.\n , \n Min-Seok, K.\n , \n Yon-Kyu, P.\n and \n Young-Ha, K.\n (2013), \u201cRobot fingertip tactile sensing module with a 3D-curved shape using molding technique\u201d, Sensors and Actuators A, Vol. 203, pp. 421-429.","DOI":"10.1016\/j.sna.2013.09.013"},{"key":"key2021010123165741200_b11","unstructured":"Ghandoor, A.A.\n and \n Samhouri, M.\n (2009), \u201cElectricity consumption in the industrial sector of Jordan: application of multivariate linear regression and adaptive neuro-fuzzy techniques\u201d, Jordan Journal of Mechanical and Industrial Engineering, Vol. 3 No. 1, pp. 69-76."},{"key":"key2021010123165741200_b10","doi-asserted-by":"crossref","unstructured":"Grigorie, T.L.\n and \n Botez, R.M.\n (2009), \u201cAdaptive neuro-fuzzy inference system-based controllers for smart material actuator modelling\u201d, J. 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