{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:23:41Z","timestamp":1754155421096,"version":"3.41.2"},"reference-count":25,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T00:00:00Z","timestamp":1589155200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IR"],"published-print":{"date-parts":[[2020,5,11]]},"abstract":"Purpose<\/jats:title>The purpose of this paper is to present a visual detection approach to predict the poses of target objects placed in arbitrary positions before completing the corresponding tasks in mobile robotic manufacturing systems.<\/jats:p><\/jats:sec>Design\/methodology\/approach<\/jats:title>A hybrid visual detection approach that combines monocular vision and laser ranging is proposed based on an eye-in-hand vision system. The laser displacement sensor is adopted to achieve normal alignment for an arbitrary plane and obtain depth information. The monocular camera measures the two-dimensional image information. In addition, a robot hand-eye relationship calibration method is presented in this paper.<\/jats:p><\/jats:sec>Findings<\/jats:title>First, a hybrid visual detection approach for mobile robotic manufacturing systems is proposed. This detection approach is based on an eye-in-hand vision system consisting of one monocular camera and three laser displacement sensors and it can achieve normal alignment for an arbitrary plane and spatial positioning of the workpiece. Second, based on this vision system, a robot hand-eye relationship calibration method is presented and it was successfully applied to a mobile robotic manufacturing system designed by the authors\u2019 team. As a result, the relationship between the workpiece coordinate system and the end-effector coordinate system could be established accurately.<\/jats:p><\/jats:sec>Practical implications<\/jats:title>This approach can quickly and accurately establish the relationship between the coordinate system of the workpiece and that of the end-effector. The normal alignment accuracy of the hand-eye vision system was less than 0.5\u00b0 and the spatial positioning accuracy could reach 0.5\u2009mm.<\/jats:p><\/jats:sec>Originality\/value<\/jats:title>This approach can achieve normal alignment for arbitrary planes and spatial positioning of the workpiece and it can quickly establish the pose relationship between the workpiece and end-effector coordinate systems. Moreover, the proposed approach can significantly improve the work efficiency, flexibility and intelligence of mobile robotic manufacturing systems.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ir-09-2019-0194","type":"journal-article","created":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T08:30:48Z","timestamp":1589272248000},"page":"511-519","source":"Crossref","is-referenced-by-count":2,"title":["Hybrid calibration and detection approach for mobile robotic manufacturing systems"],"prefix":"10.1108","volume":"47","author":[{"given":"Jing","family":"Bai","sequence":"first","affiliation":[]},{"given":"Yuchang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiansheng","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Zhanxi","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chen","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020070908325261500_ref001","first-page":"412","article-title":"The development of corridor identification algorithm using omni-directional vision sensor","volume-title":"International Conference on Affective Computing and Intelligent Interaction, Lecture Notes in Information Technology","year":"2012"},{"key":"key2020070908325261500_ref002","first-page":"1","article-title":"A survey of robot programming systems","volume-title":"Proceedings of the Australasian Conference on Robotics and Automation","year":"2003"},{"key":"key2020070908325261500_ref003","first-page":"343","article-title":"Mono-vision corner SLAM for indoor navigation","volume-title":"IEEE International Conference on Electro\/Information Technology","year":"2008"},{"issue":"3","key":"key2020070908325261500_ref004","first-page":"1","article-title":"Mono camera and laser range finding sensor position-pose measurement system","volume":"31","year":"2011","journal-title":"Acta Optica Sinica"},{"key":"key2020070908325261500_ref005","first-page":"2741","article-title":"Eye-in-hand\/eye-to-hand cooperation for visual servoing","volume-title":"IEEE International Conference on Robotics and Automation. 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