Industrial robot base assembly based on improved Hough transform of circle detection algorithm

Aiming at the assembly work of robot base and first axis gear reducer in industrial robot body production line, this paper proposed a visual recognition algorithm based on improved Hough transform of circle detection algorithm. The proposed algorithm could accomplish the rapid recognition and positioning of workpiece with high precision. Combined with the application of heavy-load industrial robot, the whole system realized the intelligent assembly of robot base and first axis gear reducer. That is “manufacturing robot with robot”. Finally, the feasibility and reliability of the algorithm is verified by experiment.

[1]  Carlos Martinez,et al.  Vision-guided robotic assembly using uncalibrated vision , 2011, 2011 IEEE International Conference on Mechatronics and Automation.

[2]  B. Krishna Mohan,et al.  Image Matching Using SIFT Features and Relaxation Labeling Technique—A Constraint Initializing Method for Dense Stereo Matching , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Ren-Jung Chang,et al.  Vision-based compliant-joint polymer force sensor integrated with microgripper for measuring gripping force , 2009, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[4]  Rajendra Patel,et al.  Enabling robots in small-part assembly lines: The "ROSETTA approach" - an industrial perspective , 2012, ROBOTIK.

[5]  Xing Chen,et al.  A new concentric circle detection method based on Hough transform , 2012, 2012 7th International Conference on Computer Science & Education (ICCSE).

[6]  Xiao Chuanmi Edge-Detection Algorithm Based on Visual Saliency , 2014 .

[7]  Om K. Gupta,et al.  Robust pose estimation and tracking system for a mobile robot using a panoramic camera , 2010, 2010 IEEE Conference on Robotics, Automation and Mechatronics.

[8]  Reid G. Simmons,et al.  Mobile robotic dynamic tracking for assembly tasks , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.