• Electronics Optics & Control
  • Vol. 26, Issue 4, 95 (2019)
LIU Sheng-shu1, GU Guo-hua1, WANG Jun-zhou2, and CAO Xing-jian3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2019.04.019 Cite this Article
    LIU Sheng-shu, GU Guo-hua, WANG Jun-zhou, CAO Xing-jian. An Object Recognition Algorithm Based on Machine Vision of Collaborative Robot Baxter[J]. Electronics Optics & Control, 2019, 26(4): 95 Copy Citation Text show less

    Abstract

    To improve the accuracy and robustness of the cooperative robot Baxter when identifying and grasping target objects,the relevant image processing algorithms are studied.An algorithm for detecting the contour of the workspace is proposed based on HSV color model and morphological treatment,and the traditional Hough transform algorithm for detecting circles is improved.The experimental results show that,the proposed and improved algorithms can improve the accuracy and robustness of the cooperative robot Baxter when it is identifying and grasping target objects.
    LIU Sheng-shu, GU Guo-hua, WANG Jun-zhou, CAO Xing-jian. An Object Recognition Algorithm Based on Machine Vision of Collaborative Robot Baxter[J]. Electronics Optics & Control, 2019, 26(4): 95
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