{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:18:37Z","timestamp":1742912317176,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031167690"},{"type":"electronic","value":"9783031167706"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16770-6_4","type":"book-chapter","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T22:03:22Z","timestamp":1662674602000},"page":"41-51","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep Gaussian Processes for\u00a0Angle and\u00a0Position Discrimination in\u00a0Active Touch Sensing"],"prefix":"10.1007","author":[{"given":"Pablo J.","family":"Salazar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tony J.","family":"Prescott","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"key":"4_CR1","unstructured":"Aquilina, K.: Tactile perception and control of a soft shear-sensitive optical tactile sensor. Ph.D. thesis, University of Bristol (2021), https:\/\/research-information.bris.ac.uk\/en\/studentTheses\/tactile-perception-and-control-of-a-soft-shear-sensitive-optical"},{"key":"4_CR2","doi-asserted-by":"publisher","unstructured":"Aquilina, K., Barton, D.A.W., Lepora, N.F.: Principal components of touch. In: 2018 IEEE International Conference on Robotics and Automation (ICRA). pp. 4071\u20134078. IEEE (5 2018). https:\/\/doi.org\/10.1109\/ICRA.2018.8461045","DOI":"10.1109\/ICRA.2018.8461045"},{"key":"4_CR3","doi-asserted-by":"publisher","unstructured":"Bartolozzi, C., Natale, L., Nori, F., Metta, G.: Robots with a sense of touch. Nat. Mater. 15(9), 921\u2013925 (2016). https:\/\/doi.org\/10.1038\/nmat4731","DOI":"10.1038\/nmat4731"},{"key":"4_CR4","unstructured":"Chorley, C., Melhuish, C., Pipe, T., Rossiter, J.: Development of a tactile sensor based on biologically inspired edge encoding. In: 2009 International Conference on Advanced Robotics, pp. 1\u20136 (2009), https:\/\/ieeexplore.ieee.org\/document\/5174720"},{"key":"4_CR5","doi-asserted-by":"publisher","unstructured":"Dahiya, R.S., Metta, G., Valle, M., Sandini, G.: Tactile sensing-from humans to humanoids. IEEE Trans. Robot. 26(1), 1\u201320 (2010). https:\/\/doi.org\/10.1109\/TRO.2009.2033627","DOI":"10.1109\/TRO.2009.2033627"},{"key":"4_CR6","unstructured":"Damianou, A.C., Lawrence, N.D.: Deep Gaussian processes. J. Mach. Learn. Res. 31, 207\u2013215 (2012). http:\/\/arxiv.org\/abs\/1211.0358"},{"key":"4_CR7","unstructured":"Dutordoir, V., et al.: GPflux: a library for deep Gaussian processes. arXiv:2104.05674 (2021), https:\/\/arxiv.org\/abs\/2104.05674"},{"issue":"6","key":"4_CR8","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1037\/h0046962","volume":"69","author":"JJ Gibson","year":"1962","unstructured":"Gibson, J.J.: Observations on active touch. Psychol. Rev. 69(6), 477\u2013491 (1962). https:\/\/doi.org\/10.1037\/h0046962","journal-title":"Psychol. Rev."},{"key":"4_CR9","doi-asserted-by":"publisher","unstructured":"Lederman, S.J., Klatzky, R.L.: Hand movements: a window into haptic object recognition. Cogn. Psychol. 19(3), 342\u2013368 (1987). https:\/\/doi.org\/10.1016\/0010-0285(87)90008-9","DOI":"10.1016\/0010-0285(87)90008-9"},{"key":"4_CR10","doi-asserted-by":"publisher","unstructured":"Lederman, S.J., Klatzky, R.L.: Extracting object properties through haptic exploration. Acta Psychol. 84(1), 29\u201340 (1993). https:\/\/doi.org\/10.1016\/0001-6918(93)90070-8","DOI":"10.1016\/0001-6918(93)90070-8"},{"key":"4_CR11","doi-asserted-by":"publisher","unstructured":"Lepora, N.: Active tactile perception. In: Prescott, T.J., Ahissar, E. (eds.) Scholarpedia of Touch, pp. 151\u2013159. Atlantis Press, Paris (2016). https:\/\/doi.org\/10.2991\/978-94-6239-133-8_11","DOI":"10.2991\/978-94-6239-133-8_11"},{"key":"4_CR12","doi-asserted-by":"publisher","unstructured":"Lepora, N., Martinez-Hernandez, U., Prescott, T.: Active Bayesian perception for simultaneous object localization and identification. In: Robotics: Science and Systems IX. Robotics: Science and Systems Foundation (2013). https:\/\/doi.org\/10.15607\/RSS.2013.IX.019","DOI":"10.15607\/RSS.2013.IX.019"},{"key":"4_CR13","doi-asserted-by":"publisher","unstructured":"Lepora, N.F.: Biomimetic active touch with fingertips and whiskers. IEEE Trans. Hapt. 9(2), 170\u2013183 (2016). https:\/\/doi.org\/10.1109\/TOH.2016.2558180","DOI":"10.1109\/TOH.2016.2558180"},{"key":"4_CR14","doi-asserted-by":"publisher","unstructured":"Lepora, N.F., Aquilina, K., Cramphorn, L.: Exploratory tactile servoing with active touch. IEEE Robot. Autom. Lett. 2(2), 1156\u20131163 (2017). https:\/\/doi.org\/10.1109\/LRA.2017.2662071","DOI":"10.1109\/LRA.2017.2662071"},{"key":"4_CR15","doi-asserted-by":"publisher","unstructured":"Martinez-Hernandez, U., Dodd, T., Prescott, T.J., Lepora, N.F.: Active Bayesian perception for angle and position discrimination with a biomimetic fingertip. In: 2013 IEEE\/RSJ International Conference on Intelligent Robots and Systems, pp. 5968\u20135973. IEEE, November 2013. https:\/\/doi.org\/10.1109\/IROS.2013.6697222","DOI":"10.1109\/IROS.2013.6697222"},{"key":"4_CR16","doi-asserted-by":"publisher","unstructured":"Martinez-Hernandez, U., Dodd, T.J., Prescott, T.J.: Feeling the shape: active exploration behaviors for object recognition with a robotic hand. IEEE Trans. Syst. Man Cybern. Syst. 48(12), 2339\u20132348 (2018). https:\/\/doi.org\/10.1109\/TSMC.2017.2732952","DOI":"10.1109\/TSMC.2017.2732952"},{"key":"4_CR17","doi-asserted-by":"publisher","unstructured":"Martinez-Hernandez, U., Rubio-Solis, A., Prescott, T.J.: Learning from sensory predictions for autonomous and adaptive exploration of object shape with a tactile robot. Neurocomputing 382, 127\u2013139 (2020). https:\/\/doi.org\/10.1016\/j.neucom.2019.10.114","DOI":"10.1016\/j.neucom.2019.10.114"},{"key":"4_CR18","unstructured":"Matthews, A.G.d.G., et al.: GPflow: a Gaussian process library using TensorFlow. J. Mach. Learn. Res. 18(40), 1\u20136 (2017), http:\/\/jmlr.org\/papers\/v18\/16-537.html"},{"key":"4_CR19","doi-asserted-by":"publisher","unstructured":"Prescott, T.J., Camilleri, D., Martinez-Hernandez, U., Damianou, A., Lawrence, N.D.: Memory and mental time travel in humans and social robots. Philos. Trans. R. Soc. B Biol. Sci. 374(1771), 20180025 (2019). https:\/\/doi.org\/10.1098\/rstb.2018.0025","DOI":"10.1098\/rstb.2018.0025"},{"issue":"1581","key":"4_CR20","doi-asserted-by":"publisher","first-page":"2989","DOI":"10.1098\/rstb.2011.0167","volume":"366","author":"TJ Prescott","year":"2011","unstructured":"Prescott, T.J., Diamond, M.E., Wing, A.M.: Active touch sensing. Philos. Trans. R. Soc. B Biol. Sci. 366(1581), 2989\u20132995 (2011). https:\/\/doi.org\/10.1098\/rstb.2011.0167","journal-title":"Philos. Trans. R. Soc. B Biol. Sci."},{"key":"4_CR21","doi-asserted-by":"publisher","unstructured":"Prescott, T.J., Lepora, N., Mitchinson, B., Pearson, M., Martinez-Hernandez, U., Grant, R.A.: Active touch sensing in mammals and robots. In: The Senses: A Comprehensive Reference, pp. 79\u2013109. Elsevier, January 2020. https:\/\/doi.org\/10.1016\/B978-0-12-805408-6.00031-2","DOI":"10.1016\/B978-0-12-805408-6.00031-2"},{"key":"4_CR22","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-540-28650-9_4","volume-title":"Advanced Lectures on Machine Learning","author":"CE Rasmussen","year":"2004","unstructured":"Rasmussen, C.E.: Gaussian processes in machine learning. In: Bousquet, O., von Luxburg, U., R\u00e4tsch, G. (eds.) ML -2003. LNCS (LNAI), vol. 3176, pp. 63\u201371. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-28650-9_4"},{"key":"4_CR23","unstructured":"Salimbeni, H., Deisenroth, M.P.: Doubly stochastic variational inference for deep Gaussian processes. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS 2017, pp. 4591\u20134602. Curran Associates Inc., Red Hook, NY, USA (2017)"},{"key":"4_CR24","doi-asserted-by":"publisher","unstructured":"Voisin, J., Benoit, G., Chapman, C.E.: Haptic discrimination of object shape in humans: two-dimensional angle discrimination. Exp. Brain Res. 145(2), 239\u2013250 (2002). https:\/\/doi.org\/10.1007\/s00221-002-1117-6","DOI":"10.1007\/s00221-002-1117-6"},{"key":"4_CR25","doi-asserted-by":"publisher","unstructured":"Yang, J., Wu, J.: Human characteristics on tactile angle discrimination by object movement condition. In: The 2011 IEEE\/ICME International Conference on Complex Medical Engineering, pp. 514\u2013519. IEEE, May 2011. https:\/\/doi.org\/10.1109\/ICCME.2011.5876795","DOI":"10.1109\/ICCME.2011.5876795"}],"container-title":["Lecture Notes in Computer Science","From Animals to Animats 16"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16770-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T23:05:37Z","timestamp":1663023937000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16770-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031167690","9783031167706"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16770-6_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"9 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SAB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Simulation of Adaptive Behavior","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cergy-Pontoise","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sab2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Scienceconf.org","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"74% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}