{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T01:49:01Z","timestamp":1729648141543,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"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":[[2021,7,16]]},"DOI":"10.1109\/acirs52449.2021.9519318","type":"proceedings-article","created":{"date-parts":[[2021,8,26]],"date-time":"2021-08-26T20:57:53Z","timestamp":1630011473000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Simulated Data Generation through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling"],"prefix":"10.1109","author":[{"given":"Sajiv","family":"Shah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayaan","family":"Haque","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1437","article-title":"A comprehensive survey on safe reinforcement learning","volume":"16","author":"garcia","year":"2015","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.2988642"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36204-1_9"},{"key":"ref13","article-title":"Integrating physics-based modeling with machine learning: A survey","author":"willard","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref14","article-title":"Deep lagrangian networks: Using physics as model prior for deep learning","author":"lutter","year":"2019","journal-title":"International Conference on Learning Representations (ICLR 2019) OpenReview net"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"15797","DOI":"10.1609\/aaai.v35i18.17895","article-title":"Ec-gan: Low-sample classification using semi-supervised algorithms and gans","volume":"35","author":"haque","year":"2021","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.468"},{"key":"ref17","article-title":"Deep learning the physics of transport phenomena","author":"farimani","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2020.109676"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compfluid.2018.07.021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.1993.583093"},{"key":"ref27","first-page":"281","article-title":"Semi-supervised learning by entropy minimization","author":"grandvalet","year":"2005","journal-title":"CAP"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/451\/1\/012002"},{"key":"ref6","article-title":"Residual model learning for microrobot control","author":"gruenstein","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/1729881418766190"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913495721"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2021.03.046"},{"journal-title":"Thermoforming of Single and Multilayer Laminates Plastic Films Technologies Testing and Applications","year":"2013","author":"ashter","key":"ref2"},{"key":"ref9","article-title":"Safe, multiagent, reinforcement learning for autonomous driving","author":"shalev-shwartz","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/robotics7040074"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2011.07.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jweia.2018.07.018"},{"journal-title":"Fundamentals of Aerodynamics","year":"2010","author":"anderson","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/280814.280816"},{"journal-title":"Development of physics based machine learning algorithms","year":"2019","author":"jennings","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13619"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.commatsci.2018.03.074"}],"event":{"name":"2021 6th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)","start":{"date-parts":[[2021,7,16]]},"location":"Tokyo, Japan","end":{"date-parts":[[2021,7,18]]}},"container-title":["2021 6th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9519302\/9519310\/09519318.pdf?arnumber=9519318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,8]],"date-time":"2023-01-08T05:15:59Z","timestamp":1673154959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9519318\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,16]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/acirs52449.2021.9519318","relation":{},"subject":[],"published":{"date-parts":[[2021,7,16]]}}}