{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,5]],"date-time":"2026-01-05T11:22:27Z","timestamp":1767612147317,"version":"3.37.3"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,8,26]],"date-time":"2023-08-26T00:00:00Z","timestamp":1693008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,26]],"date-time":"2023-08-26T00:00:00Z","timestamp":1693008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1909218,U19B2029,92267103,U190920015"],"award-info":[{"award-number":["U1909218,U19B2029,92267103,U190920015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,26]]},"DOI":"10.1109\/case56687.2023.10260588","type":"proceedings-article","created":{"date-parts":[[2023,9,28]],"date-time":"2023-09-28T17:32:23Z","timestamp":1695922343000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["Deep Reinforcement Learning for Dynamic Error Compensation in 3D Printing"],"prefix":"10.1109","author":[{"given":"Dong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, University of Chinese Academy of Sciences,Beijing,China,100049"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems,Beijing,China,100190"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyang","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, University of Chinese Academy of Sciences,Beijing,China,100049"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qihang","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, University of Chinese Academy of Sciences,Beijing,China,100049"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weixing","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems,Beijing,China,100190"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xisong","family":"Dong","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems,Beijing,China,100190"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gang","family":"Xiong","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Multimodal Artificial Intelligence Systems, Beijing Engineering Research Center of Intelligent Systems and Technology,Beijing,China,100190"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"The model adaptive energy homogenization scheme for mask projection 3D printing (in Chinese)","volume":"33","author":"wu","year":"2017","journal-title":"Journal of Signal Processing"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1108\/RPJ-12-2020-0319"},{"key":"ref34","first-page":"285","article-title":"Image processing (IP) through erosion and dilation methods","volume":"3","author":"tambe","year":"2013","journal-title":"International Journal of Emerging Technology and Advanced Engineering"},{"key":"ref15","article-title":"A simple polymer shrinkage model applied to stereolithography","author":"flach","year":"1994","journal-title":"Solid Freeform Fabrication Symposium 1994"},{"key":"ref14","first-page":"23","article-title":"Optimization of the mask image of mask projection stereolithography rapid prototyping system (in Chinese)","author":"chen","year":"2016","journal-title":"Mechatronics"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1021\/acsapm.8b00165"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12527"},{"key":"ref33","article-title":"Number plate recognition for indian cars using morphological dilation and erosion with the aid of ocrs","volume":"4","author":"anishiya","year":"2011","journal-title":"International Conference on Information and Network Technology"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3722\/cadaps.2008.412-423"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1114852"},{"key":"ref2","article-title":"Deep reinforcement learning: An overview","author":"li","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4042082"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-002-1317-z"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-004-2313-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1108\/13552549510086835"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2005.01.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IRC.2019.00120"},{"key":"ref23","article-title":"Deep rein-forcement learning framework for autonomous driving","author":"sallab","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197222"},{"key":"ref25","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2898553"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3054625"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/COASE.2019.8843210"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.addma.2021.102033"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3067302"},{"key":"ref29","first-page":"1587","article-title":"Addressing function approxi-mation error in actor-critic methods","author":"fujimoto","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/0010-4485(94)90032-9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0010-4485(95)00083-6"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-011-0615-4"},{"journal-title":"Reinforcement Learning An Introduction","year":"2018","author":"sutton","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.cad.2018.09.006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3501409.3501550"}],"event":{"name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","start":{"date-parts":[[2023,8,26]]},"location":"Auckland, New Zealand","end":{"date-parts":[[2023,8,30]]}},"container-title":["2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10260321\/10260291\/10260588.pdf?arnumber=10260588","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T17:54:21Z","timestamp":1697478861000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10260588\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,26]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/case56687.2023.10260588","relation":{},"subject":[],"published":{"date-parts":[[2023,8,26]]}}}