{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T11:33:42Z","timestamp":1763811222942,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"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":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10161062","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"3911-3917","source":"Crossref","is-referenced-by-count":9,"title":["Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach"],"prefix":"10.1109","author":[{"given":"Wenxing","family":"Liu","sequence":"first","affiliation":[{"name":"Remote Applications in Challenging Environments (RACE), United Kingdom Atomic Energy Authority,Culham,UK"}]},{"given":"Hanlin","family":"Niu","sequence":"additional","affiliation":[{"name":"Remote Applications in Challenging Environments (RACE), United Kingdom Atomic Energy Authority,Culham,UK"}]},{"given":"Wei","family":"Pan","sequence":"additional","affiliation":[{"name":"The University of Manchester,the Department of Computer Science,Manchester,UK"}]},{"given":"Guido","family":"Herrmann","sequence":"additional","affiliation":[{"name":"The University of Manchester,the Department of Electrical &#x0026; Electronic Engineering,Manchester,UK"}]},{"given":"Joaquin","family":"Carrasco","sequence":"additional","affiliation":[{"name":"The University of Manchester,the Department of Electrical &#x0026; Electronic Engineering,Manchester,UK"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.058"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696520"},{"key":"ref12","first-page":"291","article-title":"Learning a visuomotor controller for real world robotic grasping using simulated depth images","author":"viereck","year":"2017","journal-title":"Conference on Robot Learning"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793735"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01291"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/BIBE52308.2021.9635563"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.23919\/ECC55457.2022.9838436"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1214\/11-EJS635"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3084880"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2004.834113"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3167064"},{"key":"ref32","volume":"207","author":"godsil","year":"2013","journal-title":"Algebraic Graph Theory"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3178791"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968488"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793789"},{"key":"ref16","article-title":"Towards adapting deep visuomotor representations from simulated to real environments","author":"tzeng","year":"2015","journal-title":"CoRR vol abs\/1511 07111"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1109\/TRO.2018.2878318","article-title":"Model-based reinforcement learning for closed-loop dynamic control of soft robotic manipulators","volume":"35","author":"thuruthel","year":"2018","journal-title":"IEEE Transactions on Robotics"},{"key":"ref18","article-title":"Sim and real: Better together","volume":"34","author":"di-castro shashua","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202244"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2970622"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793912"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2012.2189004"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2010.VI.005"},{"key":"ref21","first-page":"674","article-title":"Path planning for a robot ma-nipulator based on probabilistic roadmap and reinforcement learning","volume":"5","author":"park","year":"2007","journal-title":"International Journal of Control Automation and Systems"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593986"},{"key":"ref27","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref29","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460528"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3191021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3177294"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3618-5_1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3161699"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3239748"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-021-01368-4"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2023,5,29]]},"location":"London, United Kingdom","end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10161062.pdf?arnumber=10161062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:30:14Z","timestamp":1690219814000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10161062\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10161062","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}