{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:03:48Z","timestamp":1765040628797,"version":"3.41.2"},"reference-count":25,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2016,1,18]],"date-time":"2016-01-18T00:00:00Z","timestamp":1453075200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,1,18]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 Picking up pistons in arbitrary poses is an important step on car engine assembly line. The authors usually use vision system to estimate the pose of the pistons and then guide a stable grasp. However, a piston in some poses, e.g. the mouth of the piston faces forward, is hardly to be directly grasped by the gripper. Thus, we need to reorient the piston to achieve a desired pose, i.e. let its mouth face upward, for grasping. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 This paper aims to present a vision-based picking system that can grasp pistons in arbitrary poses. The whole picking process is divided into two stages. At localization stage, a hierarchical approach is proposed to estimate the piston\u2019s pose from image which usually involves both heavy noise and edge distortions. At grasping stage, multi-step robotic manipulations are designed to enable the piston to follow a nominal trajectory to reach to the minimum of the distance between the piston\u2019s center and the support plane. That is, under the design input, the piston would be pushed to achieve a desired orientation. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 A target piston in arbitrary poses would be picked from the conveyor belt by the gripper with the proposed method. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 The designed robotic bin-picking system using vision is an advantage in terms of flexibility in automobile manufacturing industry. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The authors develop a methodology that uses a pneumatic gripper and 2D vision information for picking up multiple pistons in arbitrary poses. The rough pose of the parts are detected based on a hierarchical approach for detection of multiple ellipses in the environment that usually involve edge distortions. The pose uncertainties of the piston are eliminated by multi-step robotic manipulations.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/ir-06-2015-0129","type":"journal-article","created":{"date-parts":[[2016,1,19]],"date-time":"2016-01-19T09:58:21Z","timestamp":1453197501000},"page":"22-32","source":"Crossref","is-referenced-by-count":10,"title":["Pose-estimation and reorientation of pistons for robotic bin-picking"],"prefix":"10.1108","volume":"43","author":[{"given":"Jianhua","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-Yong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuankai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020121822252528200_b1","doi-asserted-by":"crossref","unstructured":"Bonde, U.\n               , \n                  Badrinarayanan, V.\n                and \n                  Cipolla, R.\n                (2014), \u201cRobust instance recognition in presence of occlusion and clutter\u201d, 13th European Conference on Computer Vision, Vol. 8690, pp. 520-535.","DOI":"10.1007\/978-3-319-10605-2_34"},{"key":"key2020121822252528200_b2","doi-asserted-by":"crossref","unstructured":"Brachmann, E.\n               , \n                  Krull, A.\n               , \n                  Michel, F.\n               , \n                  Gumhold, S.\n               , \n                  Shotton, J.\n                and \n                  Rother, C.\n                (2014), \u201cLearning 6d object pose estimation using 3d object coordinates\u201d, 13th European Conference on Computer Vision, Vol. 8690, pp. 536-551.","DOI":"10.1007\/978-3-319-10605-2_35"},{"key":"key2020121822252528200_b3","doi-asserted-by":"crossref","unstructured":"Buchholz, D.\n               , \n                  Futterlieb, M.\n               , \n                  Winkelbach, S.\n                and \n                  Wahl, F.M.\n                (2013), \u201cEfficient bin-picking and grasp planning based on depth data\u201d, IEEE International Conference on Robotics and 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1997-2004.","DOI":"10.1109\/ICRA.2014.6907124"},{"key":"key2020121822252528200_b6","unstructured":"Dupuis, D.C.\n               , \n                  L\u00e9onard, S.\n               , \n                  Baumann, M.A.\n               , \n                  Croft, E.A.\n                and \n                  Little, J.J.\n                (2008), \u201cTwo-fingered grasp planning for randomized bin-picking\u201d, \n                  Robotics: Science and Systems-Robot Manipulation: Intelligence in Human Environments\n               , pp. 25-28."},{"key":"key2020121822252528200_b7","doi-asserted-by":"crossref","unstructured":"Fitzgibbon, A.W.\n               , \n                  Pilu, M.\n                and \n                  Fisher, R.B.\n                (1999), \u201cDirect least-squares fitting of ellipses\u201d, \n                  IEEE Transactions on Pattern Analysis and Machine Intelligence\n               , Vol. 21 No. 5, pp. 476-480.","DOI":"10.1109\/34.765658"},{"key":"key2020121822252528200_b8","doi-asserted-by":"crossref","unstructured":"Hinterstoisser, S.\n               , \n                  Cagniart, C.\n               , \n                  Ilic, S.\n               , \n                  Sturm, P.\n               , \n                  Navab, N.\n               , \n                  Fua, P.\n                and \n                  Lepetit, V.\n                (2012a), \u201cGradient response maps for real-time detection of textureless objects\u201d, \n                  IEEE Transactions on Pattern Analysis and Machine Intelligence\n               , Vol. 4 No. 5, pp. 76-88.","DOI":"10.1109\/TPAMI.2011.206"},{"key":"key2020121822252528200_b9","doi-asserted-by":"crossref","unstructured":"Hinterstoisser, S.\n               , \n                  Lepetit, V.\n               , \n                  Ilic, S.\n               , \n                  Holzer, S.\n               , \n                  Bradski, G.\n               , \n                  Konolige, K.\n                and \n                  Navab, N.\n                (2012b), \u201cModel based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes\u201d, IEEE International Conference on Computer Vision\u2013ACCV, pp. 548-562.","DOI":"10.1007\/978-3-642-37331-2_42"},{"key":"key2020121822252528200_b10","unstructured":"Holz, D.\n               , \n                  Nieuwenhuisen, M.\n                and \n                  Droeschel, D.\n                (2014), \n                  Active Recognition and Manipulation for Mobile Robot Bin Picking\n               , Volume 94 of the Series Springer Tracts in Advanced Robotics, pp. 133-153."},{"key":"key2020121822252528200_b11","unstructured":"Kanatani, K.\n                and \n                  Ohta, N.\n                (2002), \u201cAutomatic detection of circular objects by ellipse growing\u201d, in 9th Symposium on Sensing via Image Information, Yokohama."},{"key":"key2020121822252528200_b12","doi-asserted-by":"crossref","unstructured":"Li, Y.F.\n                and \n                  Lee, M.H.\n                (1996), \u201cApplying vision guidance in robotic food handling\u201d, \n                  IEEE Robotics & Automation Magazine\n               , Vol. 3 No. 1, pp. 4-12.","DOI":"10.1109\/100.486656"},{"key":"key2020121822252528200_b13","doi-asserted-by":"crossref","unstructured":"Liu, M.Y.\n               , \n                  Tuzel, O.\n               , \n                  Veeraraghavan, A.\n               , \n                  Taguchi, Y.\n               , \n                  Marks, T.K.\n                and \n                  Chellappa, R.\n                (2012), \u201cFast object localization and pose estimation in heavy clutter for robotic bin picking\u201d, \n                  International Journal of Robotics Research\n               , Vol. 31 No. 8, pp. 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Fagg, A.H.\n                (2006), \u201cVision-based three-finger grasp synthesis constrained by hand geometry\u201d, \n                  Robotics and Autonomous Systems\n               , Vol. 54, pp. 496-512.","DOI":"10.1016\/j.robot.2006.01.002"},{"key":"key2020121822252528200_b17","unstructured":"Ogawa, T.\n               , \n                  Maeda, Y.\n               , \n                  Nakatani, S.\n               , \n                  Nagayasu, G.\n               , \n                  Shimizu, R.\n                and \n                  Ouchi, N.\n                (2014), \u201cDetection, localization and picking up of coil springs from a pile\u201d, \n                  IEEE International Conference on Robotics and Automation\n               , pp. 3477-3482."},{"key":"key2020121822252528200_b18","doi-asserted-by":"crossref","unstructured":"Pretto, A.\n               , \n                  Tonello, S.\n                and \n                  Menegatti, E.\n                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