{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T17:18:33Z","timestamp":1771953513181,"version":"3.50.1"},"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"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561662","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"6185-6191","source":"Crossref","is-referenced-by-count":31,"title":["Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation"],"prefix":"10.1109","author":[{"given":"Liyiming","family":"Ke","sequence":"first","affiliation":[]},{"given":"Jingqiang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Tapomayukh","family":"Bhattacharjee","sequence":"additional","affiliation":[]},{"given":"Byron","family":"Boots","sequence":"additional","affiliation":[]},{"given":"Siddhartha","family":"Srinivasa","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"University of california berkeley CS 285: Deep reinforcement learning","year":"0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2307\/2685209"},{"key":"ref30","author":"russell","year":"2009","journal-title":"Artificial Intelligence A Modern Approach"},{"key":"ref35","article-title":"Additional supplementary details (google drive)","year":"0"},{"key":"ref34","article-title":"Imitation learning as f-divergence minimization","author":"ke","year":"2020","journal-title":"Proceedings of the Workshop on Algorithmic Foundations of Robotics"},{"key":"ref10","article-title":"Imitation learning (of robots)","author":"billard","year":"2011","journal-title":"Springer Tech Rep"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/0278364912472380"},{"key":"ref12","first-page":"2760","article-title":"Model-free imitation learning with policy optimization","author":"ho","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152385"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593954"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461249"},{"key":"ref16","volume":"6","author":"cutkosky","year":"2012","journal-title":"Robotic Grasping and Fine Manipulation"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1126\/science.aat8414","article-title":"Trends and challenges in robot manipulation","volume":"364","author":"billard","year":"2019","journal-title":"Science"},{"key":"ref18","first-page":"305","article-title":"Alvinn: An autonomous land vehicle in a neural network","author":"pomerleau","year":"1989","journal-title":"Advances in neural information processing systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1561\/9781680834116"},{"key":"ref28","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00464-009-0769-8"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487604"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2008.2008753"},{"key":"ref29","article-title":"Analyzing noise in autoencoders and deep networks","author":"poole","year":"2014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/rcs.346"},{"key":"ref8","first-page":"1","article-title":"Autonomous foods handling by chopsticks for meal assistant robot","author":"yamazaki","year":"2012","journal-title":"ROBOTIK 2012 7th German Conference on Robotics"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.apergo.2006.03.009"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911429978"},{"key":"ref9","article-title":"Telemanipulation with chopsticks: Analyzing human factors in user demonstrations","author":"ke","year":"2020","journal-title":"International Conference on Intelligent Robots and Systems"},{"key":"ref1","article-title":"Gross and fine manipulation","year":"0"},{"key":"ref20","author":"quionero-candela","year":"2009","journal-title":"Dataset Shift in Machine Learning"},{"key":"ref22","article-title":"Dart: Noise injection for robust imitation learning","author":"laskey","year":"2017"},{"key":"ref21","first-page":"627","article-title":"A reduction of imitation learning and structured prediction to no-regret online learning","author":"ross","year":"2011","journal-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v29i1.9590","article-title":"Improving multistep prediction of learned time series models","author":"venkatraman","year":"2015","journal-title":"Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-19457-3_21"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90033-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.1.108"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"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\/09561662.pdf?arnumber=9561662","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T22:49:33Z","timestamp":1673563773000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561662\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561662","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}