{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:23:17Z","timestamp":1742973797056,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031635953"},{"type":"electronic","value":"9783031635960"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-63596-0_7","type":"book-chapter","created":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T06:02:42Z","timestamp":1722837762000},"page":"69-80","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Invariance is Key to\u00a0Generalization: Examining the\u00a0Role of\u00a0Representation in\u00a0Sim-to-Real Transfer for\u00a0Visual Navigation"],"prefix":"10.1007","author":[{"given":"Bo","family":"Ai","sequence":"first","affiliation":[]},{"given":"Zhanxin","family":"Wu","sequence":"additional","affiliation":[]},{"given":"David","family":"Hsu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,6]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Ai, B., Gao, W., Hsu, D.: Deep visual navigation under partial observability. In: ICRA, pp. 9439\u20139446. IEEE (2022)","key":"7_CR1","DOI":"10.1109\/ICRA46639.2022.9811598"},{"unstructured":"Sax, A., et al.: Learning to navigate using mid-level visual priors. In: CoRL, Proceedings of Machine Learning Research (2019)","key":"7_CR2"},{"doi-asserted-by":"crossref","unstructured":"Zamir, A.R., et al.: Taskonomy: disentangling task transfer learning. In: CVPR, pp. 3712\u20133722 (2018)","key":"7_CR3","DOI":"10.1109\/CVPR.2018.00391"},{"doi-asserted-by":"crossref","unstructured":"Ben-David, S., Blitzer, J., Crammer, K., Pereira, F.: Analysis of representations for domain adaptation. In: NeurIPS, pp. 137\u2013144 (2006)","key":"7_CR4","DOI":"10.7551\/mitpress\/7503.003.0022"},{"unstructured":"Chen, B., et al.: Robust policies via mid-level visual representations: an experimental study in manipulation and navigation. In: CoRL, vol. 155, pp. 2328\u20132346. PMLR (2020)","key":"7_CR5"},{"doi-asserted-by":"crossref","unstructured":"Cheng, B., Misra, I., Schwing, A.G., Kirillov, A., Girdhar, R.: Masked-attention mask transformer for universal image segmentation. In: CVPR, pp. 1280\u20131289. IEEE (2022)","key":"7_CR6","DOI":"10.1109\/CVPR52688.2022.00135"},{"issue":"2","key":"7_CR7","first-page":"1148","volume":"4","author":"J Zhang","year":"2019","unstructured":"Zhang, J., et al.: VR-goggles for robots: real-to-sim domain adaptation for visual control. IEEE RAL 4(2), 1148\u20131155 (2019)","journal-title":"IEEE RAL"},{"doi-asserted-by":"crossref","unstructured":"Kaelbling, L.P.: The foundation of efficient robot learning. Science 369(6506), 915\u2013916 (2020)","key":"7_CR8","DOI":"10.1126\/science.aaz7597"},{"unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: ICLR, OpenReview.net (2019)","key":"7_CR9"},{"doi-asserted-by":"crossref","unstructured":"Savva, M., et al.: Habitat: a platform for embodied AI research. In: ICCV, pp. 9338\u20139346. IEEE (2019)","key":"7_CR10","DOI":"10.1109\/ICCV.2019.00943"},{"doi-asserted-by":"crossref","unstructured":"Andrychowicz, M., et al.: Learning dexterous in-hand manipulation. Int. J. Robotics Res. 39(1), 3\u201320 (2020)","key":"7_CR11","DOI":"10.1177\/0278364919887447"},{"unstructured":"Roy, N., et al. From machine learning to robotics: challenges and opportunities for embodied intelligence. CoRR, abs\/2110.15245 (2021)","key":"7_CR12"},{"doi-asserted-by":"crossref","unstructured":"Ranftl, R., Bochkovskiy, A., Koltun, V.: Vision transformers for dense prediction. In: ICCV, pp. 12159\u201312168. IEEE (2021)","key":"7_CR13","DOI":"10.1109\/ICCV48922.2021.01196"},{"unstructured":"Bommasani, R., et al.: On the opportunities and risks of foundation models. CoRR, abs\/2108.07258 (2021)","key":"7_CR14"},{"unstructured":"Ross, S., Gordon, G.J., Bagnell, D.: A reduction of imitation learning and structured prediction to no-regret online learning. In: AISTATS, volume\u00a015 of JMLR Proceedings, pp. 627\u2013635 (2011)","key":"7_CR15"},{"issue":"2","key":"7_CR16","doi-asserted-by":"publisher","first-page":"2634","DOI":"10.1109\/LRA.2021.3062303","volume":"6","author":"J Truong","year":"2021","unstructured":"Truong, J., Chernova, S., Batra, D.: Bi-directional domain adaptation for sim2real transfer of embodied navigation agents. IEEE Robot. Autom. Lett. 6(2), 2634\u20132641 (2021)","journal-title":"IEEE Robot. Autom. Lett."},{"doi-asserted-by":"crossref","unstructured":"Xia, F., Zamir, A.R., He, Z., Sax, A., Malik, J., Savarese, S.: Gibson ENV: real-world perception for embodied agents. In: CVPR, pp. 9068\u20139079 (2018)","key":"7_CR17","DOI":"10.1109\/CVPR.2018.00945"},{"doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: ICCV, pp. 2242\u20132251 (2017)","key":"7_CR18","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Springer Proceedings in Advanced Robotics","Experimental Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-63596-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T06:03:13Z","timestamp":1722837793000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-63596-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031635953","9783031635960"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-63596-0_7","relation":{},"ISSN":["2511-1256","2511-1264"],"issn-type":[{"type":"print","value":"2511-1256"},{"type":"electronic","value":"2511-1264"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"6 August 2024","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":"Melia, Chiang Mai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iser2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iser2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}