{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T15:11:01Z","timestamp":1774969861169,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"4","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.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1007\/s10846-021-01564-2","type":"journal-article","created":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T14:02:23Z","timestamp":1649944943000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["MGBM-YOLO: a Faster Light-Weight Object Detection Model for Robotic Grasping of Bolster Spring Based on Image-Based Visual Servoing"],"prefix":"10.1007","volume":"104","author":[{"given":"Huanlong","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4405-7095","authenticated-orcid":false,"given":"Dafa","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianyi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinliang","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"issue":"06","key":"1564_CR1","first-page":"86","volume":"39","author":"JS Xin","year":"2020","unstructured":"Xin, J.S., Shang, Y.J., Xue, H., et al.: Dynamic reliability sensitivity analysis of bolster spring for heavy-haul freight Car. J. Lanzhou Jiaotong Univ. 39(06), 86\u201391 (2020)","journal-title":"J. Lanzhou Jiaotong Univ."},{"issue":"4","key":"1564_CR2","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.: Visual servo control, part I: basic approaches[J]. IEEE Robot. Autom. Mag. 13(4), 82\u201390 (2006)","journal-title":"IEEE Robot. Autom. Mag."},{"key":"1564_CR3","doi-asserted-by":"crossref","unstructured":"Malis, E., Ezio, S., Chaumette, F., et al.: 2-1\/2-D visual Servoing[J]. IEEE Trans Rob Autom. (1999)","DOI":"10.1109\/70.760345"},{"key":"1564_CR4","unstructured":"Espiau B.: Effect of Camera Calibration Errors on Visual Servoing in Robotics[C]\/\/ Preprints of the Third International Symposium on Experimental Robotics. (1993)"},{"key":"1564_CR5","doi-asserted-by":"crossref","unstructured":"Li., D.F., Liu, H.L., Wei, T., et al.: Robotic grasping method of bolster spring based on image-based visual servoing with YOLOv3 object detection algorithm[J]. Proc. Inst. Mech. Eng. Part C-J. Mech. Eng. Sci. (2021)","DOI":"10.1177\/09544062211019774"},{"key":"1564_CR6","doi-asserted-by":"crossref","unstructured":"Howard, A., Sandler, M., Chu, G., et al.: Searching for Mobilenetv3[C]\/\/ 2019 IEEE\/CVF international conference on computer vision (ICCV). IEEE, 1314\u20131324 (2020)","DOI":"10.1109\/ICCV.2019.00140"},{"key":"1564_CR7","doi-asserted-by":"crossref","unstructured":"Han, K., Wang, Y., Tian, Q., et al.: GhostNet: More Features from Cheap Operations[C]\/\/ 2020 IEEE\/CVF conference on computer vision and pattern recognition (CVPR). IEEE, 1580\u20131589 (2020)","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"1564_CR8","unstructured":"Lin, M., Chen, Q., Yan, S.: Network in network[J]. Comput. Therm. Sci. (2013)"},{"key":"1564_CR9","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., et al.: Going Deeper with Convolutions[C]\/\/ IEEE Computer Society (2014)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"1564_CR10","unstructured":"Iandola, F. N, Han, S., Moskewicz, M. W., et al.: SqueezeNet: AlexNet-level accuracy with 50\u00d7 fewer parameters and < 0.5 MB model size[J]. (2016)"},{"key":"1564_CR11","unstructured":"Howard, A. G., Zhu, M., Chen, B., et al.: Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications[J]. (2017)"},{"key":"1564_CR12","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., et al.: Mobilenetv2: inverted residuals and linear bottlenecks[C]\/\/ 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4510\u20134520 (2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"1564_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, X., Zhou, X., Lin, M., et al.: ShuffleNet: an extremely efficient convolutional neural network for Mobile devices[C]\/\/ 2017 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6848\u20136856 (2018)","DOI":"10.1109\/CVPR.2018.00716"},{"key":"1564_CR14","doi-asserted-by":"crossref","unstructured":"Ma, N., Zhang, X., Zheng, H. T, et al.: ShuffleNet v2: Practical Guidelines for Efficient CNN Architecture Design[C]\/\/ European Conference on Computer Vision (ECCV). Springer, Cham, 116\u2013131 (2018)","DOI":"10.1007\/978-3-030-01264-9_8"},{"issue":"10","key":"1564_CR15","first-page":"1729","volume":"44","author":"D Xu","year":"2018","unstructured":"Xu, D.: A tutorial for monocular visual servoing. Acta Aotumatica Sinica. 44(10), 1729\u20131746 (2018)","journal-title":"Acta Aotumatica Sinica"},{"issue":"Mar.","key":"1564_CR16","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.fusengdes.2016.01.024","volume":"104","author":"Y Yang","year":"2016","unstructured":"Yang, Y., Song, Y., Pan, H., et al.: Visual servo simulation of EAST articulated maintenance arm robot[J]. Fusion Eng. Des. 104(Mar.), 28\u201333 (2016)","journal-title":"Fusion Eng. Des."},{"key":"1564_CR17","doi-asserted-by":"crossref","unstructured":"Tongloy, T., Boonsang, S.: An Image-Based Visual Servo Control System Based on an Eye-in-Hand Monocular Camera for Autonomous Robotic Grasping[C]\/\/ International Conference on Instrumentation. IEEE (2016)","DOI":"10.1109\/ICA.2016.7811489"},{"key":"1564_CR18","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.robot.2018.10.011","volume":"112","author":"GQ Dong","year":"2019","unstructured":"Dong, G.Q., Zhu, Z.H.: Kinematics-based incremental visual servo for robotic capture of non-cooperative target[J]. Robot. Auton. Syst. 112, 221\u2013228 (2019)","journal-title":"Robot. Auton. Syst."},{"issue":"2","key":"1564_CR19","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1109\/TIE.2008.2003217","volume":"56","author":"WF Xie","year":"2009","unstructured":"Xie, W.F., Li, Z., Tu, X.W., et al.: Switching control of image-based visual Servoing with laser pointer in robotic manufacturing systems[J]. IEEE Trans. Ind. Electron. 56(2), 520\u2013529 (2009)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"10","key":"1564_CR20","doi-asserted-by":"publisher","first-page":"5001","DOI":"10.1016\/j.jfranklin.2019.04.026","volume":"356","author":"SS Mehta","year":"2019","unstructured":"Mehta, S.S., Ton, C., Rysz, M., et al.: New approach to visual servo control using terminal constraints[J]. J. Frankl. Inst. 356(10), 5001\u20135026 (2019)","journal-title":"J. Frankl. Inst."},{"key":"1564_CR21","doi-asserted-by":"publisher","first-page":"76891","DOI":"10.1109\/ACCESS.2019.2920941","volume":"7","author":"XG Zhong","year":"2019","unstructured":"Zhong, X.G., Zhong, X.Y., Hu, H.S., et al.: Adaptive neuro-filtering based visual servo control of a robotic manipulator[J]. IEEE Access. 7, 76891\u201376901 (2019)","journal-title":"IEEE Access"},{"key":"1564_CR22","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.neucom.2020.07.086","volume":"415","author":"Y Yang","year":"2020","unstructured":"Yang, Y., Zhang, W.S., He, Z.W., et al.: High-speed rail pole number recognition through deep representation and temporal redundancy[J]. Neurocomputing. 415, 201\u2013214 (2020)","journal-title":"Neurocomputing"},{"key":"1564_CR23","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.neucom.2018.08.009","volume":"316","author":"AG \u00c1lvaro","year":"2018","unstructured":"\u00c1lvaro, A.G., \u00c1lvarez-Garc\u00eda, J.A., Soria-Morillo, L.M.: Evaluation of deep neural networks for traffic sign detection system[J]. Neurocomputing. 316, 332\u2013344 (2018)","journal-title":"Neurocomputing"},{"key":"1564_CR24","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., et al.: You only look once: unified, real-time object detection[C]\/\/ 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"1564_CR25","doi-asserted-by":"crossref","unstructured":"Redmon, J., Farhadi, A.: YOLO9000: Better, Faster, Stronger[C]\/\/ 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 7263\u20137271 (2017)","DOI":"10.1109\/CVPR.2017.690"},{"key":"1564_CR26","unstructured":"Redmond, J., Farhadi, A.: YOLOv3: An incremental improvement[J]. arXiv preprint arVix: 1804.02767 (2018)"},{"key":"1564_CR27","doi-asserted-by":"publisher","first-page":"898","DOI":"10.3389\/fpls.2020.00898","volume":"11","author":"J Liu","year":"2020","unstructured":"Liu, J., Wang, X.W.: Tomato diseases and pests detection based on improved Yolo V3 convolutional neural network[J]. Front. Plant Sci. 11, 898 (2020)","journal-title":"Front. Plant Sci."},{"key":"1564_CR28","doi-asserted-by":"publisher","first-page":"3118","DOI":"10.3390\/rs12193118","volume":"12","author":"DQ Xu","year":"2020","unstructured":"Xu, D.Q., Wu, Y.Q.: MRFF-YOLO: a multi-receptive fields fusion network for remote sensing target detection[J]. Remote Sens. 12, 3118 (2020)","journal-title":"Remote Sens."},{"key":"1564_CR29","volume-title":"Robotics, Vision and Control[M]\/\/ Robotics, Vision and Control - Fundamental Algorithms in MATLAB\u00ae","author":"P Corke","year":"2011","unstructured":"Corke, P.: Robotics, Vision and Control[M]\/\/ Robotics, Vision and Control - Fundamental Algorithms in MATLAB\u00ae. Springer, Berlin (2011)"},{"key":"1564_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, Z.Y.: A flexible new technique for camera calibration[J]. IEEE Trans. Pattern Anal. Mach. Intell. (2000)","DOI":"10.1109\/34.888718"}],"container-title":["Journal of Intelligent &amp; Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-021-01564-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10846-021-01564-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-021-01564-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,3]],"date-time":"2022-05-03T06:12:50Z","timestamp":1651558370000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10846-021-01564-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":30,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,4]]}},"alternative-id":["1564"],"URL":"https:\/\/doi.org\/10.1007\/s10846-021-01564-2","relation":{},"ISSN":["0921-0296","1573-0409"],"issn-type":[{"value":"0921-0296","type":"print"},{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4]]},"assertion":[{"value":"1 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"No conflict of interest exits in the submission of this article, and the article is approved by all authors for publication.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}}],"article-number":"77"}}