{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:39:52Z","timestamp":1761395992497,"version":"3.40.3"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030711504"},{"type":"electronic","value":"9783030711511"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-71151-1_28","type":"book-chapter","created":{"date-parts":[[2021,3,27]],"date-time":"2021-03-27T14:02:47Z","timestamp":1616853767000},"page":"309-322","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Playing with Food: Learning Food Item Representations Through Interactive Exploration"],"prefix":"10.1007","author":[{"given":"Amrita","family":"Sawhney","sequence":"first","affiliation":[]},{"given":"Steven","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Kevin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Manuela","family":"Veloso","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Kroemer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,3,28]]},"reference":[{"issue":"8","key":"28_CR1","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. Trans. Pattern Anal. Mach. Intelli. 35(8), 1798\u20131828 (2013)","journal-title":"Trans. Pattern Anal. Mach. Intelli."},{"issue":"6","key":"28_CR2","doi-asserted-by":"publisher","first-page":"1273","DOI":"10.1109\/TRO.2017.2721939","volume":"33","author":"J Bohg","year":"2017","unstructured":"Bohg, J., Hausman, K., Sankaran, B., Brock, O., Kragic, D., Schaal, S., Sukhatme, G.S.: Interactive perception: leveraging action in perception and perception in action. IEEE Trans. Rob. 33(6), 1273\u20131291 (2017)","journal-title":"IEEE Trans. Rob."},{"issue":"5","key":"28_CR3","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.1109\/TMECH.2012.2209673","volume":"18","author":"P Boonvisut","year":"2012","unstructured":"Boonvisut, P., \u00c7avu\u015fo\u011flu, M.C.: Estimation of soft tissue mechanical parameters from robotic manipulation data. IEEE\/ASME Trans. Mechatron. 18(5), 1602\u20131611 (2012)","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"28_CR4","unstructured":"Chentanez, N., M\u00fcller, M., \u00a0Macklin, M.: Real-time simulation of large elasto-plastic deformation with shape matching. In: Proceedings of the ACM SIGGRAPH\/Eurographics Symposium on Computer Animation, pp. 159\u2013167 (2016)"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"Chu, V., McMahon, I., Riano, L., McDonald, C.G., He, Q., Perez-Tejada, J.M., \u00a0Arrigo, M., \u00a0Fitter, N., Nappo, J.C., \u00a0Darrell, T., et\u00a0al.: Using robotic exploratory procedures to learn the meaning of haptic adjectives. In: 2013 IEEE International Conference on Robotics and Automation, pp. 3048\u20133055. IEEE (2013)","DOI":"10.1109\/ICRA.2013.6631000"},{"key":"28_CR6","first-page":"1","volume":"01","author":"D Damen","year":"2020","unstructured":"Damen, D., Doughty, H., Farinella, G., Fidler, S., Furnari, A., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., et al.: The epic-kitchens dataset: collection, challenges and baselines. IEEE Comput. Archit. Lett. 01, 1 (2020)","journal-title":"IEEE Comput. Archit. Lett."},{"key":"28_CR7","doi-asserted-by":"crossref","unstructured":"Deng, J., \u00a0Dong, W., \u00a0Socher, R., Li, L.-J., \u00a0Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: CVPR, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Erickson, Z., \u00a0Xing, E., \u00a0Srirangam, B., \u00a0Chernova, S., Kemp. C.C.: Multimodal material classification for robots using spectroscopy and high resolution texture imaging. arXiv:2004.01160 (2020)","DOI":"10.1109\/IROS45743.2020.9341165"},{"key":"28_CR9","unstructured":"Feng, R., \u00a0Kim, Y., \u00a0Lee, G., Gordon, E.K.,\u00a0Schmittle, M., Kumar, S., \u00a0Bhattacharjee, T., Srinivasa, S.S.: Robot-assisted feeding: Generalizing skewering strategies across food items on a realistic plate. arXiv preprintarXiv:1906.02350 (2019)"},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Figura, L., Teixeira, A.A.: Food physics: physical properties-measurement and applications. Springer Science & Business Media (2007)","DOI":"10.1007\/978-3-540-34194-9"},{"key":"28_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Isola, P., Lim, J.J., Adelson, E.H.: Discovering states and transformations in image collections. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298744"},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Jia, B., \u00a0Hu, Z., Pan, J., Manocha, D.: Manipulating highly deformable materials using a visual feedback dictionary. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 239\u2013246. IEEE (2018)","DOI":"10.1109\/ICRA.2018.8461264"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Katz, D., Brock, O.: Manipulating articulated objects with interactive perception. In: 2008 IEEE International Conference on Robotics and Automation, pp. 272\u2013277. IEEE (2008)","DOI":"10.1109\/ROBOT.2008.4543220"},{"key":"28_CR15","unstructured":"Kroemer, O., \u00a0Niekum, S., Konidaris, G.: A review of robot learning for manipulation: Challenges, representations, and algorithms. arXiv preprintarXiv:1907.03146 (2019)"},{"key":"28_CR16","doi-asserted-by":"crossref","unstructured":"Kroemer, O., Sukhatme, G.: Meta-level priors for learning manipulation skills with sparse features. In: International Symposium on Experimental Robotics, pp. 211\u2013222. Springer (2016)","DOI":"10.1007\/978-3-319-50115-4_19"},{"key":"28_CR17","doi-asserted-by":"crossref","unstructured":"Li, Q., Kroemer, O., Su, Z., Veiga, F.F., Kaboli, M., Ritter, H.J.: A review of tactile information: Perception and action through touch. IEEE Trans. Robot. 36(6), 1619\u20131634 (2020)","DOI":"10.1109\/TRO.2020.3003230"},{"key":"28_CR18","first-page":"1","volume":"270","author":"B Logan","year":"2000","unstructured":"Logan, B., et al.: Mel frequency cepstral coefficients for music modeling. Ismir 270, 1\u201311 (2000)","journal-title":"Ismir"},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"Maninis, K., \u00a0Caelles, S., \u00a0Pont-Tuset, J., Van Gool, L.: Deep extreme cut: from extreme points to object segmentation. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00071"},{"key":"28_CR20","unstructured":"Matas, J., \u00a0James, S., Davison, A.J.: Sim-to-real reinforcement learning for deformable object manipulation (2018)"},{"key":"28_CR21","doi-asserted-by":"crossref","unstructured":"Matl, C., Narang, Y., Bajcsy, R., \u00a0Ramos, F., Fox, D.: Inferring the material properties of granular media for robotic tasks. arXiv:2003.08032 (2020)","DOI":"10.1109\/ICRA40945.2020.9197063"},{"key":"28_CR22","doi-asserted-by":"crossref","unstructured":"McFee, B., \u00a0Raffel, C., Liang, D., Ellis, D.P., McVicar, M., Battenberg, E., Nieto, O.: librosa: Audio and music signal analysis in python (2015)","DOI":"10.25080\/Majora-7b98e3ed-003"},{"key":"28_CR23","doi-asserted-by":"crossref","unstructured":"Schaal, S., \u00a0Peters, J., Nakanishi, J., Ijspeert, A.: Learning movement primitives. In: Robotics Research the Eleventh International Symposium, pp. 561\u2013572. Springer (2005)","DOI":"10.1007\/11008941_60"},{"key":"28_CR24","doi-asserted-by":"crossref","unstructured":"Schroff, F., \u00a0Kalenichenko, D., Philbin, J.: Facenet: a unified embedding for face recognition and clustering. In: CVPR, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"28_CR25","unstructured":"Sharma, M., \u00a0Zhang, K., Kroemer, O.: Learning semantic embedding spaces for slicing vegetables. arXiv:1904.00303 (2019)"},{"issue":"10","key":"28_CR26","doi-asserted-by":"publisher","first-page":"1250","DOI":"10.1177\/0278364911408368","volume":"30","author":"J Sinapov","year":"2011","unstructured":"Sinapov, J., Bergquist, T., Schenck, C., Ohiri, U., Griffith, S., Stoytchev, A.: Interactive object recognition using proprioceptive and auditory feedback. Int. J. Robot. Res. 30(10), 1250\u20131262 (2011)","journal-title":"Int. J. Robot. Res."},{"issue":"5","key":"28_CR27","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1016\/j.robot.2012.10.007","volume":"62","author":"J Sinapov","year":"2014","unstructured":"Sinapov, J., Schenck, C., Staley, K., Sukhoy, V., Stoytchev, A.: Grounding semantic categories in behavioral interactions: Experiments with 100 objects. Robot. Autonomous Syst. 62(5), 632\u2013645 (2014)","journal-title":"Robot. Autonomous Syst."},{"key":"28_CR28","doi-asserted-by":"crossref","unstructured":"Tatiya, G., Sinapov, J.: Deep multi-sensory object category recognition using interactive behavioral exploration. In: ICRA, pp. 7872\u20137878. IEEE (2019)","DOI":"10.1109\/ICRA.2019.8794095"},{"key":"28_CR29","doi-asserted-by":"crossref","unstructured":"Wu, Y., Yan, W., Kurutach, T., Pinto, L., Abbeel, P.: Learning to manipulate deformable objects without demonstrations (2020)","DOI":"10.15607\/RSS.2020.XVI.065"},{"key":"28_CR30","unstructured":"Xie, J., \u00a0Girshick, R., \u00a0Farhadi, A.: Unsupervised deep embedding for clustering analysis. In: ICML, pp. 478\u2013487 (2016)"},{"key":"28_CR31","doi-asserted-by":"crossref","unstructured":"Yamaguchi, A., Atkeson, C.G.: Combining finger vision and optical tactile sensing: Reducing and handling errors while cutting vegetables. In: Humanoids, pp. 1045\u20131051. IEEE (2016)","DOI":"10.1109\/HUMANOIDS.2016.7803400"},{"key":"28_CR32","unstructured":"Yan, W., \u00a0Vangipuram, A., \u00a0Abbeel, P., \u00a0Pinto, L.: Learning predictive representations for deformable objects using contrastive estimation (2020)"},{"key":"28_CR33","unstructured":"Zhang, K.: https:\/\/github.com\/firephinx\/sounddevice_ros"},{"key":"28_CR34","unstructured":"Zhang, K., \u00a0Sharma, M., Liang, J., Kroemer, O.: A modular robotic arm control stack for research: Franka-interface and frankapy. arXiv preprintarXiv:2011.02398 (2020)"},{"key":"28_CR35","doi-asserted-by":"crossref","unstructured":"Zhang, K., Sharma, M., Veloso, M., Kroemer, O.: Leveraging multimodal haptic sensory data for robust cutting. In: Humanoids, pp. 409\u2013416 (2019)","DOI":"10.1109\/Humanoids43949.2019.9035073"},{"key":"28_CR36","doi-asserted-by":"crossref","unstructured":"Zhao, H., Shi, J., \u00a0Qi, X., Wang, X., Jia, J.: Pyramid scene parsing network. In: CVPR, pp. 2881\u20132890 (2017)","DOI":"10.1109\/CVPR.2017.660"},{"key":"28_CR37","doi-asserted-by":"crossref","unstructured":"Zhou, B., \u00a0Zhao, H., Puig, X., Fidler, S.,\u00a0Barriuso, A., \u00a0Torralba, A.: Scene parsing through ade20k dataset. In CVPR, pages 633\u2013641, 2017","DOI":"10.1109\/CVPR.2017.544"}],"container-title":["Springer Proceedings in Advanced Robotics","Experimental Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-71151-1_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,24]],"date-time":"2023-10-24T05:48:19Z","timestamp":1698126499000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-71151-1_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030711504","9783030711511"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-71151-1_28","relation":{},"ISSN":["2511-1256","2511-1264"],"issn-type":[{"type":"print","value":"2511-1256"},{"type":"electronic","value":"2511-1264"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"28 March 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISER","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Experimental Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iser2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}