{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T16:40:24Z","timestamp":1767890424608,"version":"3.49.0"},"reference-count":51,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Robotics and Computer-Integrated Manufacturing"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1016\/j.rcim.2021.102275","type":"journal-article","created":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T00:43:47Z","timestamp":1634172227000},"page":"102275","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":17,"special_numbering":"C","title":["Assessment of ISO Standardisation to Identify an Industrial Robot's Base Frame"],"prefix":"10.1016","volume":"74","author":[{"given":"Lauren","family":"McGarry","sequence":"first","affiliation":[]},{"given":"Joseph","family":"Butterfield","sequence":"additional","affiliation":[]},{"given":"Adrian","family":"Murphy","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.rcim.2021.102275_bib0001","series-title":"World Robotics Report","year":"2020"},{"key":"10.1016\/j.rcim.2021.102275_bib0002","series-title":"Executive Summary World Robotics Report 2020 Industrial Robots","year":"2020"},{"key":"10.1016\/j.rcim.2021.102275_bib0003","series-title":"Foreword World Robotics Report 2020 Industrial Robots","author":"Bill","year":"2020"},{"key":"10.1016\/j.rcim.2021.102275_bib0004","doi-asserted-by":"crossref","unstructured":"F. Tao, Q. Qi, L. Wang, A.Y.C. Nee, Digital twins and cyber \u2013 physical systems toward smart manufacturing and Industry 4 . 0\u00a0: correlation and comparison, engineering. 5 (2019) 653\u2013661. https:\/\/doi.org\/10.1016\/j.eng.2019.01.014.","DOI":"10.1016\/j.eng.2019.01.014"},{"key":"10.1016\/j.rcim.2021.102275_bib0005","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.mfglet.2014.12.001","article-title":"A cyber-physical systems architecture for Industry 4.0-based manufacturing systems","volume":"3","author":"Lee","year":"2015","journal-title":"Manuf. Lett."},{"key":"10.1016\/j.rcim.2021.102275_bib0006","doi-asserted-by":"crossref","first-page":"4","DOI":"10.20965\/ijat.2017.p0004","article-title":"Industrie 4.0\u201d and smart manufacturing-a review of research issues and application examples","volume":"11","author":"Thoben","year":"2017","journal-title":"Int. J. Autom. Technol."},{"key":"10.1016\/j.rcim.2021.102275_bib0007","doi-asserted-by":"crossref","first-page":"387","DOI":"10.3233\/AOP-120022","article-title":"Digital methods for process development in manufacturing and their relevance to value driven design","volume":"1","author":"Butterfield","year":"2012","journal-title":"J. Aerosp. Oper."},{"key":"10.1016\/j.rcim.2021.102275_bib0008","series-title":"The covid shift: working time in manufacturing, engineering, shipbuilding and aerospace after the pandemic","author":"Jung","year":"2020"},{"key":"10.1016\/j.rcim.2021.102275_bib0009","first-page":"1","article-title":"Resilient and agile engineering solutions to address societal challenges such as coronavirus pandemic","volume":"17","author":"Goel","year":"2020","journal-title":"Mater. Today Chem."},{"key":"10.1016\/j.rcim.2021.102275_bib0010","series-title":"Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries","year":"2015"},{"key":"10.1016\/j.rcim.2021.102275_bib0011","series-title":"Made Smarter Review","author":"Maier","year":"2017"},{"key":"10.1016\/j.rcim.2021.102275_bib0012","doi-asserted-by":"crossref","DOI":"10.1007\/s00170-019-03403-z","article-title":"Industrial robotic machining: a review","author":"Ji","year":"2019","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"10.1016\/j.rcim.2021.102275_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2020.102110","article-title":"Spillover Algorithm: a decentralised coordination approach for multi-robot production planning in open shared factories","volume":"70","author":"Lujak","year":"2021","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0014","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1007\/s00170-015-8076-0","article-title":"Emerging manufacturing paradigm shifts for the incoming industrial revolution","volume":"85","author":"Yao","year":"2016","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"10.1016\/j.rcim.2021.102275_bib0015","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1243\/09544054JEM1241","article-title":"Digital manufacturing: history, perspectives, and outlook","volume":"223","author":"Chryssolouris","year":"2009","journal-title":"Proc. Inst. Mech. Eng. Part B J. Eng. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0016","doi-asserted-by":"crossref","first-page":"839","DOI":"10.4271\/2011-01-2555","article-title":"A flexible fixture for aircraft wing assembly based on a parallel kinematic machine (Exechon), SAE","volume":"4","author":"Shang","year":"2011","journal-title":"Int. J. Aerosp."},{"issue":"435","key":"10.1016\/j.rcim.2021.102275_bib0017","doi-asserted-by":"crossref","first-page":"151","DOI":"10.4028\/www.scientific.net\/AMM.433-435.151","article-title":"An industrial robot based drilling system for aircraft structures","volume":"433","author":"Bi","year":"2013","journal-title":"Appl. Mech. Mater."},{"key":"10.1016\/j.rcim.2021.102275_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2019.101908","article-title":"Robotic grinding of complex components: a step towards efficient and intelligent machining \u2013 challenges, solutions, and applications","volume":"65","author":"Zhu","year":"2020","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0019","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6501\/aacd6e","article-title":"A compensation method based on error similarity and error correlation to enhance the position accuracy of an aviation drilling robot","volume":"29","author":"Chen","year":"2018","journal-title":"Meas. Sci. Technol."},{"key":"10.1016\/j.rcim.2021.102275_bib0020","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.rcim.2017.01.002","article-title":"Multi-sensor measurement system for robotic drilling","volume":"47","author":"Frommknecht","year":"2017","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0021","first-page":"1108","article-title":"Robot capability test and development of industrial robot positioning system for the aerospace industry","volume":"114","author":"Summers","year":"2005","journal-title":"SAE Trans"},{"key":"10.1016\/j.rcim.2021.102275_bib0022","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.ifacol.2018.08.326","article-title":"Measurement assisted assembly for high accuracy aerospace manufacturing","volume":"51","author":"Drouot","year":"2018","journal-title":"IFAC-PapersOnLine"},{"key":"10.1016\/j.rcim.2021.102275_bib0023","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.rcim.2016.12.005","article-title":"Efficiency evaluation of robots in machining applications using industrial performance measure","volume":"48","author":"Klimchik","year":"2017","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0024","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.rcim.2012.06.004","article-title":"Absolute calibration of an ABB IRB 1600 robot using a laser tracker","volume":"29","author":"Nubiola","year":"2013","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0025","first-page":"5660","article-title":"Improvement of robot accuracy by calibrating kinematic model using a laser tracking system-compensation of non-geometric errors using neural networks and selection of optimal measuring points using genetic algorithm-, in: 2010","author":"Aoyagi","year":"2010","journal-title":"IEEE\/RSJ Int. Conf. Intell. Robot. Syst."},{"key":"10.1016\/j.rcim.2021.102275_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2021.102232","article-title":"Robust design of independent joint control of industrial robots with secondary encoders","volume":"73","author":"Mesmer","year":"2022","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0027","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/1687814018763411","article-title":"A compensation method based on extreme learning machine to enhance absolute position accuracy for aviation drilling robot","volume":"10","author":"Yuan","year":"2018","journal-title":"Adv. Mech. Eng."},{"key":"10.1016\/j.rcim.2021.102275_bib0028","series-title":"Real Time Pose Control of an Industrial Robotic System for Machining of Large Scale Components in Aerospace Industry Using Laser Tracker System","author":"Moeller","year":"2017"},{"key":"10.1016\/j.rcim.2021.102275_bib0029","doi-asserted-by":"crossref","first-page":"2745","DOI":"10.1007\/s00170-016-8975-8","article-title":"An error-similarity-based robot positional accuracy improvement method for a robotic drilling and riveting system","volume":"88","author":"Zeng","year":"2017","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"10.1016\/j.rcim.2021.102275_bib0030","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s10846-018-0823-7","article-title":"Application of universal kriging for calibrating offline-programming industrial robots","volume":"94","author":"Cai","year":"2019","journal-title":"J. Intell. Robot. Syst. Theory Appl."},{"key":"10.1016\/j.rcim.2021.102275_bib0031","first-page":"30","article-title":"A positional error compensation method for industrial robots combining error similarity and radial basis function neural network","author":"Chen","year":"2019","journal-title":"Meas. Sci. Technol."},{"key":"10.1016\/j.rcim.2021.102275_bib0032","first-page":"1","article-title":"Metrology assisted robotic automation","volume":"2","author":"Brown","year":"2019","journal-title":"SAE Tech. Pap"},{"key":"10.1016\/j.rcim.2021.102275_bib0033","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s00170-013-5283-4","article-title":"A new paradigm in large-scale assembly \u2014 research priorities in measurement assisted assembly","volume":"70","author":"Maropoulos","year":"2014","journal-title":"Int. J. Adv. Manuf. Technol"},{"key":"10.1016\/j.rcim.2021.102275_bib0034","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/j.cirp.2016.05.002","article-title":"Advances in large-scale metrology \u2013 review and future trends","volume":"65","author":"Schmitt","year":"2016","journal-title":"CIRP Ann. - Manuf. Technol"},{"key":"10.1016\/j.rcim.2021.102275_bib0035","series-title":"BS EN ISO 9283:1998: Manipulating industrial Robots - Performance criteria and Related Test Methods","year":"1998"},{"key":"10.1016\/j.rcim.2021.102275_bib0036","volume":"9283","year":"1995"},{"key":"10.1016\/j.rcim.2021.102275_bib0037","series-title":"BS ISO 8373:2012 Robots and Robotic Devices \u2014 Vocabulary","year":"2012"},{"key":"10.1016\/j.rcim.2021.102275_bib0038","series-title":"AIAA Aviat. 2020 FORUM, American Institute of Aeronautics and Astronautics","article-title":"A framework for Industry 4.0 implementation in aerospace assembly","author":"McGarry","year":"2020"},{"key":"10.1016\/j.rcim.2021.102275_bib0039","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rcim.2019.101893","article-title":"The state of the art of testing standards for integrated robotic systems","volume":"63","author":"Bi","year":"2020","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2021.102249","article-title":"A metrological device for robot identification","volume":"73","author":"Garnier","year":"2022","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0041","series-title":"Leica Absolute Tracker AT960","year":"2021"},{"key":"10.1016\/j.rcim.2021.102275_bib0042","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.rcim.2016.05.011","article-title":"Positional error similarity analysis for error compensation of industrial robots","volume":"42","author":"Zeng","year":"2016","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0043","doi-asserted-by":"crossref","first-page":"455","DOI":"10.17531\/ein.2018.3.15","article-title":"Testing of an industrial robot's accuracy and repeatability in off and online environment","volume":"20","author":"P\u0142aczek","year":"2018","journal-title":"Eksploat. i Niezawodn. - Maint. Reliab."},{"key":"10.1016\/j.rcim.2021.102275_bib0044","article-title":"Laser Tracker and 6DoF measurement strategies in industrial robot applications","author":"Kleinkes","year":"2011","journal-title":"C. 2011 Coord. Metrol. Syst. Conf."},{"key":"10.1016\/j.rcim.2021.102275_bib0045","series-title":"2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent System","first-page":"335","article-title":"Assessing the accuracy of industrial robots through metrology for the enhancement of automated non-destructive testing","author":"Morozov","year":"2016"},{"key":"10.1016\/j.rcim.2021.102275_bib0046","doi-asserted-by":"crossref","DOI":"10.1016\/j.rcim.2021.102142","article-title":"Combination of geometric and parametric approaches for kinematic identification of an industrial robot","volume":"71","author":"Boby","year":"2021","journal-title":"Robot. Comput. Integr. Manuf."},{"key":"10.1016\/j.rcim.2021.102275_bib0047","unstructured":"Hexagon, ROBODYN, (2017). https:\/\/www.hexagonmi.com\/en-gb\/products\/robotics-and-automation\/robodyn (accessed January 20, 2021)."},{"key":"10.1016\/j.rcim.2021.102275_bib0048","first-page":"1187","article-title":"Calibrating industrial robots with absolute position tracking system","author":"Nov\u00e1k","year":"2020","journal-title":"IEEE Int. Conf. Emerg. Technol. Fact. Autom. ETFA."},{"key":"10.1016\/j.rcim.2021.102275_bib0049","series-title":"Design of Experiments for Engineers and Scientists, Second","first-page":"40","article-title":"A systematic methodology for design of experiments","year":"2014"},{"key":"10.1016\/j.rcim.2021.102275_bib0050","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1108\/IR-05-2015-0088","article-title":"A comparative evaluation of three industrial robots using three reference measuring techniques","volume":"42","author":"Slamani","year":"2015","journal-title":"Ind. Rob."},{"key":"10.1016\/j.rcim.2021.102275_bib0051","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1051\/matecconf\/201824401015","article-title":"Measurement of industrial robot pose repeatability","volume":"244","author":"Kuric","year":"2018","journal-title":"MATEC Web Conf."}],"container-title":["Robotics and Computer-Integrated Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0736584521001551?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0736584521001551?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:57:48Z","timestamp":1760029068000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0736584521001551"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":51,"alternative-id":["S0736584521001551"],"URL":"https:\/\/doi.org\/10.1016\/j.rcim.2021.102275","relation":{},"ISSN":["0736-5845"],"issn-type":[{"value":"0736-5845","type":"print"}],"subject":[],"published":{"date-parts":[[2022,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Assessment of ISO Standardisation to Identify an Industrial Robot's Base Frame","name":"articletitle","label":"Article Title"},{"value":"Robotics and Computer-Integrated Manufacturing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.rcim.2021.102275","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"102275"}}