{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T11:29:05Z","timestamp":1763724545904,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561749","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"6293-6299","source":"Crossref","is-referenced-by-count":4,"title":["Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery"],"prefix":"10.1109","author":[{"given":"Chia-Man","family":"Hung","sequence":"first","affiliation":[]},{"given":"Li","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yizhe","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Ioannis","family":"Havoutis","sequence":"additional","affiliation":[]},{"given":"Ingmar","family":"Posner","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"Openai gym","year":"2016","author":"brockman","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"article-title":"Goal-conditioned end-to-end visuomotor control for versatile skill primitives","year":"2020","author":"groth","key":"ref31"},{"key":"ref30","first-page":"99","article-title":"Dropout distillation","author":"bul\u00f2","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref35","first-page":"3","article-title":"Uncertainty in deep learning","volume":"1","author":"gal","year":"2016"},{"article-title":"Fetch & freight: Standard platforms for service robot applications","year":"2018","author":"wise","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989324"},{"key":"ref12","first-page":"1334","article-title":"End-to-end training of deep visuomotor policies","volume":"17","author":"levine","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"key":"ref13","first-page":"4565","article-title":"Generative adversarial imitation learning","author":"ho","year":"2016","journal-title":"Advances in neural information processing systems"},{"article-title":"Sqil: Imitation learning via reinforcement learning with sparse rewards","year":"2019","author":"reddy","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.3.448"},{"key":"ref16","first-page":"63","article-title":"Gaussian processes in machine learning","author":"rasmussen","year":"2003","journal-title":"Machine Learning Summer School"},{"key":"ref17","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007665907178"},{"key":"ref19","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793698"},{"key":"ref4","first-page":"1087","article-title":"One-shot imitation learning","author":"duan","year":"2017","journal-title":"Advances in neural information processing systems"},{"article-title":"To follow or not to follow: Selective imitation learning from observations","year":"2019","author":"lee","key":"ref27"},{"key":"ref3","first-page":"12627","article-title":"Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks","author":"james","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0921-8890(02)00244-0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487679"},{"key":"ref5","first-page":"357","article-title":"One-shot visual imitation learning via meta-learning","author":"finn","year":"2017","journal-title":"Conference on Robot Learning"},{"key":"ref8","first-page":"2746","article-title":"Embed to control: A locally linear latent dynamics model for control from raw images","author":"watter","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206586"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460875"},{"key":"ref9","first-page":"5074","article-title":"Learning to poke by poking: Experiential learning of intuitive physics","author":"agrawal","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref1","first-page":"334","article-title":"Transferring end-to-end visuomotor control from simulation to real world for a multi-stage task","author":"james","year":"2017","journal-title":"Conference on Robot Learning"},{"article-title":"Bayesian convolutional neural networks with bernoulli approximate variational inference","year":"2015","author":"gal","key":"ref20"},{"article-title":"Auto-encoding variational bayes","year":"2013","author":"kingma","key":"ref22"},{"key":"ref21","first-page":"3581","article-title":"Concrete dropout","author":"gal","year":"2017","journal-title":"Advances in neural information processing systems"},{"article-title":"Asymmetric actor critic for image-based robot learning","year":"2017","author":"pinto","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.009"},{"article-title":"Universal planning networks","year":"2018","author":"srinivas","key":"ref26"},{"article-title":"Sim-to-real reinforcement learning for deformable object manipulation","year":"2018","author":"matas","key":"ref25"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2021,5,30]]},"location":"Xi'an, China","end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09561749.pdf?arnumber=9561749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:07Z","timestamp":1652197627000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561749\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561749","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}