{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T19:01:25Z","timestamp":1773774085911,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Scientific Research","award":["JP18H04108"],"award-info":[{"award-number":["JP18H04108"]}]},{"DOI":"10.13039\/501100001863","name":"New Energy and Industrial Technology Development Organization","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001863","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/lra.2020.2998410","type":"journal-article","created":{"date-parts":[[2020,5,28]],"date-time":"2020-05-28T20:21:48Z","timestamp":1590697308000},"page":"4415-4422","source":"Crossref","is-referenced-by-count":25,"title":["Using Human Gaze to Improve Robustness Against Irrelevant Objects in Robot Manipulation Tasks"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3451-2288","authenticated-orcid":false,"given":"Heecheol","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9158-5360","authenticated-orcid":false,"given":"Yoshiyuki","family":"Ohmura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8443-4161","authenticated-orcid":false,"given":"Yasuo","family":"Kuniyoshi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_41"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2016.7759741"},{"key":"ref33","article-title":"Recurrent mixture density network for spatiotemporal visual attention","author":"bazzani","year":"2017","journal-title":"Int Conf Learn Representations"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.38"},{"key":"ref31","first-page":"1","article-title":"Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet","author":"k\u00fcmmerer","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.620"},{"key":"ref37","first-page":"1196","article-title":"A human-robot interface using vision-based eye gaze estimation system","volume":"2","author":"yoo","year":"0","journal-title":"Proc IEEE Int Conf Intell Robots Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.20897\/jisem.201816"},{"key":"ref35","first-page":"298","article-title":"Predicting user intent through eye gaze for shared autonomy","author":"admoni","year":"0","journal-title":"Proc Assoc Advancement Artif Intell Fall Symp Ser"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICINFA.2009.5205106"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_47"},{"key":"ref11","first-page":"1334","article-title":"End-to-end training of deep visuomotor policies","volume":"17","author":"levine","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487173"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461076"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989247"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710318"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2005.02.009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s002210100745"},{"key":"ref18","article-title":"Mixture density networks","author":"bishop","year":"1994"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015430"},{"key":"ref28","first-page":"362","article-title":"Predicting eye fixations using convolutional neural networks","author":"liu","year":"0","journal-title":"Proc Conf Comput Vis and Pattern Recog"},{"key":"ref4","article-title":"Learning latent plans from play","author":"lynch","year":"2019","journal-title":"Conference on Robot Learning"},{"key":"ref27","first-page":"143","article-title":"Dart: Noise injection for robust imitation learning","author":"laskey","year":"0","journal-title":"Proc Conf Robot Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-012-0128-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461249"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.71"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989385"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30301-5_60"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","first-page":"305","article-title":"Alvinn: An autonomous land vehicle in a neural network","author":"pomerleau","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref20","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","volume":"8","author":"ziebart","year":"2008","journal-title":"Proc Assoc Advance Artif Intell"},{"key":"ref45","article-title":"On the variance of the adaptive learning rate and beyond","author":"liu","year":"0","journal-title":"Int Conf Learn Representations"},{"key":"ref22","first-page":"19","article-title":"Nonlinear inverse reinforcement learning with gaussian processes","author":"levine","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1177\/0278364910371999"},{"key":"ref42","article-title":"A benchmark of computational models of saliency to predict human fixations","author":"judd","year":"2012"},{"key":"ref24","first-page":"4565","article-title":"Generative adversarial imitation learning","author":"ho","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2815601"},{"key":"ref23","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2008.09.007"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2016.2633383"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2005.03.019"},{"key":"ref25","article-title":"Variational discriminator bottleneck: Improving imitation learning, inverse rl, and gans by constraining information flow","author":"peng","year":"0","journal-title":"Proc Int Conf Learn Representations"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9059055\/09103290.pdf?arnumber=9103290","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:59:38Z","timestamp":1642003178000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9103290\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":45,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/lra.2020.2998410","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7]]}}}