{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:26:51Z","timestamp":1773840411614,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["61876054"],"award-info":[{"award-number":["61876054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2024.3370760","type":"journal-article","created":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T19:07:37Z","timestamp":1709060857000},"page":"1-16","source":"Crossref","is-referenced-by-count":11,"title":["Semiparametric Musculoskeletal Model for Reinforcement Learning-Based Trajectory Tracking"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2801-755X","authenticated-orcid":false,"given":"Haoran","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5792-8701","authenticated-orcid":false,"given":"Jianyin","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4274-9618","authenticated-orcid":false,"given":"Hongxu","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9654-0268","authenticated-orcid":false,"given":"Qiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2015.2465849"},{"key":"ref2","article-title":"Non-linear control strategies for musculoskeletal robots","author":"J\u00e4ntsch","year":"2014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2018.07.017"},{"issue":"1","key":"ref4","first-page":"11","article-title":"Pneumatic artificial muscles: Actuators for robotics and automation","volume":"47","author":"Daerden","year":"2002","journal-title":"Eur. J. Mech. Environ. Eng."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1994.351573"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364905052437"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0278364908095842"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0278364909353956"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77296-5_31"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1163\/156855312X625371"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487599"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MED.2017.7984125"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2018.1494040"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1089\/soro.2017.0044"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2849601"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2008.2003202"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2254094"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2015.2483520"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechatronics.2006.03.011"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2316255"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2022.104230"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3176207"},{"key":"ref23","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref24","article-title":"Benchmarking model-based reinforcement learning","author":"Wang","year":"2019","journal-title":"arXiv:1907.02057"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509858"},{"key":"ref26","first-page":"101","article-title":"Using physics knowledge for learning rigid-body forward dynamics with Gaussian process force priors","volume-title":"Proc. Conf. Robot. Learn.","author":"Rath"},{"key":"ref27","first-page":"1","article-title":"Deep reinforcement learning in a handful of trials using probabilistic dynamics models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Chua"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2022.xviii.029"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC53148.2023.10175993"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2017.04.047"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2851025"},{"key":"ref32","volume-title":"Robot Modeling and Control","author":"Spong","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2005.1582848"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1177\/1045389x11435435"},{"key":"ref35","first-page":"1049","article-title":"Sample-efficient cross-entropy method for real-time planning","volume-title":"Proc. Conf. Robot. Learn.","author":"Pinner"},{"key":"ref36","volume-title":"Efficient Reinforcement Learning Using Gaussian Processes","volume":"9","author":"Deisenroth","year":"2010"},{"key":"ref37","first-page":"1","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke"},{"key":"ref38","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref39","first-page":"1","article-title":"Multi-task Gaussian process prediction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"20","author":"Bonilla"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref41","first-page":"1","article-title":"Gpytorch: Blackbox matrix-matrix Gaussian process inference with gpu acceleration","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Gardner"},{"key":"ref42","first-page":"707","article-title":"On generating power law noise","volume":"300","author":"Timmer","year":"1995","journal-title":"Astron. Astrophys."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2006.377582"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1142\/S0218195995000064"},{"key":"ref45","volume-title":"Shape Similarity","year":"2023"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10367905\/10445761.pdf?arnumber=10445761","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T17:52:08Z","timestamp":1710438728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10445761\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tim.2024.3370760","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}