{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T03:54:53Z","timestamp":1769399693468,"version":"3.49.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T00:00:00Z","timestamp":1616457600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T00:00:00Z","timestamp":1616457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key R&D Program of China","award":["2019YFB1310200"],"award-info":[{"award-number":["2019YFB1310200"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1713207"],"award-info":[{"award-number":["U1713207"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Program of Guangzhou","award":["201904020020"],"award-info":[{"award-number":["201904020020"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Intel Serv Robotics"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s11370-021-00356-9","type":"journal-article","created":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T18:03:58Z","timestamp":1616522638000},"page":"187-197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Fuzzy-PI double-layer stability control of an online vision-based tracking system"],"prefix":"10.1007","volume":"14","author":[{"given":"Nianfeng","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaifan","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianmin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,23]]},"reference":[{"key":"356_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.rcim.2018.08.003","volume":"56","author":"A Rout","year":"2019","unstructured":"Rout A, Deepak BBVL, Biswal BB (2019) Advances in weld seam tracking techniques for robotic welding: a review. Robot Comput Integr Manuf 56:12\u201337","journal-title":"Robot Comput Integr Manuf"},{"issue":"4","key":"356_CR2","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1109\/TIM.2013.2283139","volume":"63","author":"L Zhang","year":"2014","unstructured":"Zhang L, Ye Q, Yang W, Jiao J (2014) Weld line detection and tracking via spatial-temporal cascaded hidden Markov models and cross structured light. IEEE Trans Instrum Meas 63(4):742\u2013753","journal-title":"IEEE Trans Instrum Meas"},{"key":"356_CR3","doi-asserted-by":"crossref","unstructured":"Caggiano A, Nele L, Sarno E, Teti R (2014) 3D digital reconfiguration of an automated welding system for a railway manufacturing application, Vol.\u00a025 of Procedia CIRP, pp 39\u201345","DOI":"10.1016\/j.procir.2014.10.008"},{"issue":"13","key":"356_CR4","doi-asserted-by":"publisher","first-page":"4217","DOI":"10.1109\/JSEN.2017.2700954","volume":"17","author":"M Rodr\u00edguez-Mart\u00edn","year":"2017","unstructured":"Rodr\u00edguez-Mart\u00edn M, Rodr\u00edguez-Gonz\u00e1lvez P, Gonz\u00e1lez-Aguilera D, Fern\u00e1ndez-Hern\u00e1ndez J (2017) Feasibility study of a structured light system applied to welding inspection based on articulated coordinate measure machine data. IEEE Sens J 17(13):4217\u20134224","journal-title":"IEEE Sens J"},{"key":"356_CR5","doi-asserted-by":"crossref","unstructured":"Xu, Lv N, Han Y, Chen S (2016) IEEE, research on the key technology of vision sensor in robotic welding. In: IEEE workshop on advanced robotics and its social impacts, pp 121\u2013125","DOI":"10.1109\/ARSO.2016.7736268"},{"key":"356_CR6","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.optlastec.2017.09.037","volume":"99","author":"WJ Shao","year":"2018","unstructured":"Shao WJ, Huang Y, Zhang Y (2018) A novel weld seam detection method for space weld seam of narrow butt joint in laser welding. Optics Laser Technol 99:39\u201351","journal-title":"Optics Laser Technol"},{"issue":"5","key":"356_CR7","doi-asserted-by":"publisher","first-page":"1144","DOI":"10.3390\/s19051144","volume":"19","author":"B Xue","year":"2019","unstructured":"Xue B, Chang B, Peng G, Gao Y, Tian Z, Du D, Wang G (2019) A vision based detection method for narrow butt joints and a robotic seam tracking system. Sensors 19(5):1144","journal-title":"Sensors"},{"issue":"2","key":"356_CR8","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/s40194-018-0654-y","volume":"63","author":"J Guo","year":"2019","unstructured":"Guo J, Zhu Z, Sun B, Yu Y (2019) A novel multifunctional visual sensor based on combined laser structured lights and its anti-jamming detection algorithms. Weld World 63(2):313\u2013322","journal-title":"Weld World"},{"issue":"4","key":"356_CR9","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/MRA.2006.250573","volume":"13","author":"F Chaumette","year":"2006","unstructured":"Chaumette F, Hutchinson S (2006) Visual servo control\u2014part I: Basic approaches. IEEE Robot Autom Mag 13(4):82\u201390","journal-title":"IEEE Robot Autom Mag"},{"issue":"5\u20138","key":"356_CR10","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/s00170-009-2421-0","volume":"49","author":"Z Fang","year":"2010","unstructured":"Fang Z, Xu D, Tan M (2010) Visual seam tracking system for butt weld of thin plate. Int J Adv Manuf Technol 49(5\u20138):519\u2013526","journal-title":"Int J Adv Manuf Technol"},{"issue":"9\u201312","key":"356_CR11","doi-asserted-by":"publisher","first-page":"3589","DOI":"10.1007\/s00170-016-8729-7","volume":"87","author":"P Kiddee","year":"2016","unstructured":"Kiddee P, Fang Z, Tan M (2016) An automated weld seam tracking system for thick plate using cross mark structured light. Int J Adv Manuf Technol 87(9\u201312):3589\u20133603","journal-title":"Int J Adv Manuf Technol"},{"issue":"1","key":"356_CR12","first-page":"57","volume":"11","author":"R Babazadeh\u00a0Tili","year":"2018","unstructured":"Babazadeh\u00a0Tili R, Akbarnejad F, Rostami V (2018) Visual torch position control using fuzzy-servoing controller for arc welding process. J Comput Robot 11(1):57\u201367","journal-title":"J Comput Robot"},{"issue":"9","key":"356_CR13","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1007\/s00170-014-5925-1","volume":"73","author":"Y Xu","year":"2014","unstructured":"Xu Y, Fang G, Chen S, Zou JJ, Ye Z (2014) Real-time image processing for vision-based weld seam tracking in robotic gmaw. Int J Adv Manuf Technol 73(9):1413\u20131425","journal-title":"Int J Adv Manuf Technol"},{"issue":"9","key":"356_CR14","doi-asserted-by":"publisher","first-page":"4577","DOI":"10.1007\/s00170-019-03875-z","volume":"103","author":"M Kos","year":"2019","unstructured":"Kos M, Arko E, Kosler H, Jezer\u0161ek M (2019) Remote laser welding with in-line adaptive 3d seam tracking. Int J Adv Manuf Technol 103(9):4577\u20134586. https:\/\/doi.org\/10.1007\/s00170-019-03875-z","journal-title":"Int J Adv Manuf Technol"},{"issue":"5","key":"356_CR15","doi-asserted-by":"publisher","first-page":"2113","DOI":"10.1007\/s00170-016-8618-0","volume":"87","author":"R Rios-Cabrera","year":"2016","unstructured":"Rios-Cabrera R, Morales-Diaz AB, Aviles-Vi\u00f1as JF, Lopez-Juarez I (2016) Robotic gmaw online learning: issues and experiments. Int J Adv Manuf Technol 87(5):2113\u20132134. https:\/\/doi.org\/10.1007\/s00170-016-8618-0","journal-title":"Int J Adv Manuf Technol"},{"issue":"1","key":"356_CR16","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/s10514-013-9365-9","volume":"36","author":"L Righetti","year":"2014","unstructured":"Righetti L, Kalakrishnan M, Pastor P, Binney J, Kelly J, Voorhies RC, Sukhatme GS, Schaal S (2014) An autonomous manipulation system based on force control and optimization. Auton Robots 36(1):11\u201330","journal-title":"Auton Robots"},{"issue":"1","key":"356_CR17","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1007\/s00170-013-5034-6","volume":"69","author":"WP Gu","year":"2013","unstructured":"Gu WP, Xiong ZY, Wan W (2013) Autonomous seam acquisition and tracking system for multi-pass welding based on vision sensor. Int J Adv Manuf Technol 69(1):451\u2013460","journal-title":"Int J Adv Manuf Technol"},{"issue":"3","key":"356_CR18","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s10846-006-9078-9","volume":"47","author":"L Zhou","year":"2006","unstructured":"Zhou L, Lin T, Chen SB (2006) Autonomous acquisition of seam coordinates for arc welding robot based on visual servoing. J Intell Robot Syst 47(3):239\u2013255","journal-title":"J Intell Robot Syst"},{"key":"356_CR19","first-page":"3","volume-title":"On-line monitoring and defects detection of robotic arc welding: a review and future challenges","author":"Z Zhang","year":"2019","unstructured":"Zhang Z, Wen G, Chen S (2019) On-line monitoring and defects detection of robotic arc welding: a review and future challenges. Springer, Berlin, pp 3\u201328"},{"issue":"1\u20134","key":"356_CR20","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s00170-012-3902-0","volume":"63","author":"W Huang","year":"2012","unstructured":"Huang W, Kovacevic R (2012) Development of a real-time laser-based machine vision system to monitor and control welding processes. Int J Adv Manuf Technol 63(1\u20134):235\u2013248","journal-title":"Int J Adv Manuf Technol"},{"issue":"4","key":"356_CR21","doi-asserted-by":"publisher","first-page":"3758","DOI":"10.1109\/LRA.2019.2929987","volume":"4","author":"A Carron","year":"2019","unstructured":"Carron A, Arcari E, Wermelinger M, Hewing L, Hutter M, Zeilinger MN (2019) Data-driven model predictive control for trajectory tracking with a robotic arm. IEEE Robot Autom Lett 4(4):3758\u20133765","journal-title":"IEEE Robot Autom Lett"},{"key":"356_CR22","doi-asserted-by":"crossref","unstructured":"Liangyu L, Lingjian F, Xin Z, Xiang L (2006) Image processing of seam tracking system using laser vision. In: International conference on robotic welding, intelligence and automation, RWIA 2006, December 8\u2013December 11, 2006, vol 362 of Lecture Notes in Control and Information Sciences, Springer, pp 319\u2013324","DOI":"10.1007\/978-3-540-73374-4_38"},{"issue":"4","key":"356_CR23","first-page":"79S","volume":"88","author":"K Sung","year":"2009","unstructured":"Sung K, Lee H, Choi YS, Rhee S (2009) Development of a multiline laser vision sensor for joint tracking in welding. Weld J 88(4):79S\u201385S","journal-title":"Weld J"},{"key":"356_CR24","doi-asserted-by":"crossref","unstructured":"Chen XZ, Chen SB, Lin T (2007) Recognition of macroscopic seam for complex robotic welding environment, vol 362 of Lecture notes in control and information sciences, pp 171\u2013+","DOI":"10.1007\/978-3-540-73374-4_19"},{"issue":"3","key":"356_CR25","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.rcim.2013.10.008","volume":"30","author":"M Dinham","year":"2014","unstructured":"Dinham M, Fang G (2014) Detection of fillet weld joints using an adaptive line growing algorithm for robotic arc welding. Robot Comput Integr Manuf 30(3):229\u2013243","journal-title":"Robot Comput Integr Manuf"},{"key":"356_CR26","doi-asserted-by":"publisher","first-page":"101821","DOI":"10.1016\/j.rcim.2019.101821","volume":"61","author":"N Wang","year":"2020","unstructured":"Wang N, Zhong K, Shi X, Zhang X (2020) A robust weld seam recognition method under heavy noise based on structured-light vision. Robot Comput Integr Manuf 61:101821","journal-title":"Robot Comput Integr Manuf"}],"container-title":["Intelligent Service Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-021-00356-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11370-021-00356-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-021-00356-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T00:17:43Z","timestamp":1620173863000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11370-021-00356-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,23]]},"references-count":26,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["356"],"URL":"https:\/\/doi.org\/10.1007\/s11370-021-00356-9","relation":{},"ISSN":["1861-2776","1861-2784"],"issn-type":[{"value":"1861-2776","type":"print"},{"value":"1861-2784","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,23]]},"assertion":[{"value":"18 October 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 March 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}