{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T14:24:00Z","timestamp":1777559040346,"version":"3.51.4"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100005374","name":"Nanjing University of Posts and Telecommunications","doi-asserted-by":"publisher","award":["Grant No. NY220140"],"award-info":[{"award-number":["Grant No. NY220140"]}],"id":[{"id":"10.13039\/501100005374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Research Project of Colleges and Universities of Jiangsu Province","award":["22KJB460032"],"award-info":[{"award-number":["22KJB460032"]}]},{"name":"Science and Technology Department of Anhui Province","award":["TZJQR001-2022"],"award-info":[{"award-number":["TZJQR001-2022"]}]},{"name":"ministry of education","award":["MCCSE2021A02"],"award-info":[{"award-number":["MCCSE2021A02"]}]},{"DOI":"10.13039\/501100007166","name":"Jiangsu Provincial Department of Education","doi-asserted-by":"publisher","award":["JSSCBS20210523"],"award-info":[{"award-number":["JSSCBS20210523"]}],"id":[{"id":"10.13039\/501100007166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1007\/s11227-023-05177-4","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T19:02:46Z","timestamp":1679338966000},"page":"12924-12948","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Combined compensation method of robot kinematics error based on MRIPN-IMA"],"prefix":"10.1007","volume":"79","author":[{"given":"Shuang","family":"Gao","sequence":"first","affiliation":[]},{"given":"Kaiwei","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Zhenjiang","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Mingxing","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Fengyu","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"key":"5177_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102165","volume":"71","author":"G Luo","year":"2021","unstructured":"Luo G, Zou L, Wang Z, Lv C, Ou J, Huang Y (2021) A novel kinematic parameters calibration method for industrial robot based on levenberg-marquardt and differential evolution hybrid algorithm. Robot Comput-Integrated Manuf 71:102165","journal-title":"Robot Comput-Integrated Manuf"},{"issue":"6","key":"5177_CR2","doi-asserted-by":"publisher","first-page":"4429","DOI":"10.1109\/TMECH.2022.3156804","volume":"27","author":"C Lv","year":"2022","unstructured":"Lv C, Zou L, Huang Y, Li H, Wang T, Mu Y (2022) A novel toolpath for robotic adaptive grinding of extremely thin blade edge based on dwell time model. IEEE\/ASME Trans Mechatron 27(6):4429\u20134439","journal-title":"IEEE\/ASME Trans Mechatron"},{"issue":"7","key":"5177_CR3","doi-asserted-by":"publisher","first-page":"6000","DOI":"10.1109\/TIE.2020.2994890","volume":"68","author":"T Sun","year":"2020","unstructured":"Sun T, Liu C, Lian B, Wang P, Song Y (2020) Calibration for precision kinematic control of an articulated serial robot. IEEE Trans Industr Electron 68(7):6000\u20136009","journal-title":"IEEE Trans Industr Electron"},{"issue":"6","key":"5177_CR4","doi-asserted-by":"publisher","first-page":"4339","DOI":"10.1109\/TMECH.2022.3156056","volume":"27","author":"MM Alam","year":"2022","unstructured":"Alam MM, Ibaraki S, Fukuda K, Morita S, Usuki H, Otsuki N, Yoshioka H (2022) Inclusion of bidirectional angular positioning deviations in the kinematic model of a six-DOF articulated robot for static volumetric error compensation. IEEE\/ASME Trans Mechatron 27(6):4339\u20134349","journal-title":"IEEE\/ASME Trans Mechatron"},{"issue":"4","key":"5177_CR5","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1109\/TRO.2020.3047515","volume":"37","author":"J Kwon","year":"2021","unstructured":"Kwon J, Choi K, Park FC (2021) Kinodynamic model identification: a unified geometric approach. IEEE Trans Rob 37(4):1100\u20131114","journal-title":"IEEE Trans Rob"},{"key":"5177_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2019.101855","volume":"61","author":"Z Fu","year":"2020","unstructured":"Fu Z, Dai JS, Yang K, Chen X, L\u00f3pez-Custodio P (2020) Analysis of unified error model and simulated parameters calibration for robotic machining based on lie theory. Robot Comput-Integrated Manuf 61:101855","journal-title":"Robot Comput-Integrated Manuf"},{"issue":"3","key":"5177_CR7","doi-asserted-by":"publisher","first-page":"1703","DOI":"10.1109\/TRO.2021.3123841","volume":"38","author":"F Mari\u0107","year":"2021","unstructured":"Mari\u0107 F, Giamou M, Hall AW, Khoubyarian S, Petrovi\u0107 I, Kelly J (2021) Riemannian optimization for distance-geometric inverse kinematics. IEEE Trans Rob 38(3):1703\u20131722","journal-title":"IEEE Trans Rob"},{"issue":"2","key":"5177_CR8","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1109\/TRO.2019.2926491","volume":"36","author":"T Lee","year":"2019","unstructured":"Lee T, Wensing PM, Park FC (2019) Geometric robot dynamic identification: a convex programming approach. IEEE Trans Rob 36(2):348\u2013365","journal-title":"IEEE Trans Rob"},{"issue":"5","key":"5177_CR9","doi-asserted-by":"publisher","first-page":"1577","DOI":"10.1109\/TRO.2020.2990368","volume":"36","author":"Y Han","year":"2020","unstructured":"Han Y, Wu J, Liu C, Xiong Z (2020) An iterative approach for accurate dynamic model identification of industrial robots. IEEE Trans Rob 36(5):1577\u20131594","journal-title":"IEEE Trans Rob"},{"issue":"6","key":"5177_CR10","doi-asserted-by":"publisher","first-page":"2896","DOI":"10.1109\/TMECH.2018.2873232","volume":"23","author":"H Jin","year":"2018","unstructured":"Jin H, Liu Z, Zhang H, Liu Y, Zhao J (2018) A dynamic parameter identification method for flexible joints based on adaptive control. IEEE\/ASME Trans Mechatron 23(6):2896\u20132908","journal-title":"IEEE\/ASME Trans Mechatron"},{"key":"5177_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102175","volume":"71","author":"Z Jiang","year":"2021","unstructured":"Jiang Z, Huang M, Tang X, Guo Y (2021) A new calibration method for joint-dependent geometric errors of industrial robot based on multiple identification spaces. Robot Comput-Integrated Manuf 71:102175","journal-title":"Robot Comput-Integrated Manuf"},{"issue":"4","key":"5177_CR12","doi-asserted-by":"publisher","first-page":"2928","DOI":"10.1109\/TII.2020.3003940","volume":"17","author":"G Du","year":"2020","unstructured":"Du G, Liang Y, Gao B, Al Otaibi S, Li D (2020) A cognitive joint angle compensation system based on self-feedback fuzzy neural network with incremental learning. IEEE Trans Industr Inf 17(4):2928\u20132937","journal-title":"IEEE Trans Industr Inf"},{"key":"5177_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106559","volume":"145","author":"K Zervoudakis","year":"2020","unstructured":"Zervoudakis K, Tsafarakis S (2020) A mayfly optimization algorithm. Comput Ind Eng 145:106559","journal-title":"Comput Ind Eng"},{"key":"5177_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102158","volume":"71","author":"L Kong","year":"2021","unstructured":"Kong L, Chen G, Wang H, Huang G, Zhang D (2021) Kinematic calibration of a 3-PRRU parallel manipulator based on the complete, minimal and continuous error model. Robot Comput-Integrated Manuf 71:102158","journal-title":"Robot Comput-Integrated Manuf"},{"key":"5177_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2022.102328","volume":"76","author":"Y Song","year":"2022","unstructured":"Song Y, Liu M, Lian B, Qi Y, Wang Y, Wu J, Li Q (2022) Industrial serial robot calibration considering geometric and deformation errors. Robot Comput-Integrated Manuf 76:102328","journal-title":"Robot Comput-Integrated Manuf"},{"issue":"3","key":"5177_CR16","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1109\/TRO.2020.3038690","volume":"37","author":"A Dalla Libera","year":"2020","unstructured":"Dalla Libera A, Castaman N, Ghidoni S, Carli R (2020) Autonomous learning of the robot kinematic model. IEEE Trans Rob 37(3):877\u2013892","journal-title":"IEEE Trans Rob"},{"key":"5177_CR17","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.rcim.2017.05.004","volume":"49","author":"A Filion","year":"2018","unstructured":"Filion A, Joubair A, Tahan AS, Bonev IA (2018) Robot calibration using a portable photogrammetry system. Robot Comput-Integrated Manuf 49:77\u201387","journal-title":"Robot Comput-Integrated Manuf"},{"key":"5177_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102248","volume":"73","author":"HM Balanji","year":"2022","unstructured":"Balanji HM, Turgut AE, Tunc LT (2022) A novel vision-based calibration framework for industrial robotic manipulators. Robot Comput-Integrated Manuf 73:102248","journal-title":"Robot Comput-Integrated Manuf"},{"issue":"9","key":"5177_CR19","doi-asserted-by":"publisher","first-page":"7092","DOI":"10.1109\/TIM.2020.2976277","volume":"69","author":"G Du","year":"2020","unstructured":"Du G, Liang Y, Li C, Liu PX, Li D (2020) Online robot kinematic calibration using hybrid filter with multiple sensors. IEEE Trans Instrum Meas 69(9):7092\u20137107","journal-title":"IEEE Trans Instrum Meas"},{"issue":"5","key":"5177_CR20","doi-asserted-by":"publisher","first-page":"2309","DOI":"10.1109\/TMECH.2020.3001021","volume":"25","author":"S Liao","year":"2020","unstructured":"Liao S, Zeng Q, Ehmann KF, Cao J (2020) Parameter identification and nonparametric calibration of the tri-pyramid robot. IEEE\/ASME Trans Mechatron 25(5):2309\u20132317","journal-title":"IEEE\/ASME Trans Mechatron"},{"key":"5177_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102142","volume":"71","author":"RA Boby","year":"2021","unstructured":"Boby RA, Klimchik A (2021) Combination of geometric and parametric approaches for kinematic identification of an industrial robot. Robot Comput-Integrated Manuf 71:102142","journal-title":"Robot Comput-Integrated Manuf"},{"key":"5177_CR22","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.rcim.2017.12.006","volume":"51","author":"X Xu","year":"2018","unstructured":"Xu X, Zhu D, Wang J, Yan S, Ding H (2018) Calibration and accuracy analysis of robotic belt grinding system using the ruby probe and criteria sphere. Robot Comput-Integrated Manuf 51:189\u2013201","journal-title":"Robot Comput-Integrated Manuf"},{"key":"5177_CR23","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.rcim.2019.05.013","volume":"59","author":"W Zhu","year":"2019","unstructured":"Zhu W, Li G, Dong H, Ke Y (2019) Positioning error compensation on two-dimensional manifold for robotic machining. Robot Comput-Integrated Manuf 59:394\u2013405","journal-title":"Robot Comput-Integrated Manuf"},{"key":"5177_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102220","volume":"73","author":"W Wang","year":"2022","unstructured":"Wang W, Tian W, Liao W, Li B, Hu J (2022) Error compensation of industrial robot based on deep belief network and error similarity. Robot Comput-Integrated Manuf 73:102220","journal-title":"Robot Comput-Integrated Manuf"},{"key":"5177_CR25","doi-asserted-by":"publisher","first-page":"627","DOI":"10.4028\/www.scientific.net\/AMM.303-306.627","volume":"303","author":"ZY Han","year":"2013","unstructured":"Han ZY, Jin HY, Liu YL, Fu HY (2013) A review of geometric error modeling and error detection for CNC machine tool. Appl Mech Mater 303:627\u2013631","journal-title":"Appl Mech Mater"},{"key":"5177_CR26","doi-asserted-by":"crossref","unstructured":"Lin Z, Tian W, Zhang D, Gao W, Wang L (2022) A method of geometric error identification and compensation of cnc machine tools based on volumetric diagonal error measurements. Int J Adv Manuf Technol 1\u201318","DOI":"10.1007\/s00170-022-10484-w"},{"key":"5177_CR27","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.ymssp.2017.08.011","volume":"113","author":"G Gao","year":"2018","unstructured":"Gao G, Sun G, Na J, Guo Y, Wu X (2018) Structural parameter identification for 6 dof industrial robots. Mech Syst Signal Process 113:145\u2013155","journal-title":"Mech Syst Signal Process"},{"key":"5177_CR28","doi-asserted-by":"crossref","unstructured":"Denavit J, Hartenberg RS (1955) A kinematic notation for lower-pair mechanisms based on matrices","DOI":"10.1115\/1.4011045"},{"issue":"1","key":"5177_CR29","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1080\/21642583.2019.1708830","volume":"8","author":"J Xue","year":"2020","unstructured":"Xue J, Shen B (2020) A novel swarm intelligence optimization approach: sparrow search algorithm. Syst Sci Control Eng 8(1):22\u201334","journal-title":"Syst Sci Control Eng"},{"key":"5177_CR30","first-page":"407","volume":"99","author":"N Jain","year":"2018","unstructured":"Jain N, Nangia U, Jain J (2018) A review of particle swarm optimization. J Inst Eng (India): Ser B 99:407\u2013411","journal-title":"J Inst Eng (India): Ser B"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05177-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-023-05177-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05177-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T14:07:03Z","timestamp":1687270023000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-023-05177-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,20]]},"references-count":30,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["5177"],"URL":"https:\/\/doi.org\/10.1007\/s11227-023-05177-4","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,20]]},"assertion":[{"value":"7 March 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 March 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}