Chinese Journal of Intelligent Science and Technology ›› 2020, Vol. 2 ›› Issue (3): 268-274.doi: 10.11959/j.issn.2096-6652.202029

• Regular Papers • Previous Articles     Next Articles

A robot sorting method based on deep learning

Sijia TIAN1(),Qiang GU2,Rong HU1,Ruige LI1,Dingxin HE1   

  1. 1 Huazhong University of Science and Technology,Wuhan 430074,China
    2 Wuhan PS-Micro Technology Co.,Ltd,Wuhan 430000,China
  • Revised:2020-09-04 Online:2020-09-20 Published:2020-10-20
  • Supported by:
    The National Natural Science Foundation of China(61672244)


A fast robot sorting method based on lightweight convolutional neural network was proposed to improve the recognition speed and environmental adaptability,especially for sorting complex objects.Firstly,the MobileNet-SSD algorithm was used to detect and classify the objects based on lightweight convolutional neural network.Secondly,image preprocessing and edge extraction were used to revise the object locations according to the above object detection results.The sorting experiments on PROBOT Anno robot arm show that the proposed method can achieve fast detection and location for complex objects.Compared with traditional image processing methods,the proposed method is robust to the diversity of target morphology and environment.

Key words: robot sorting, deep learning, object detection, machine vision

CLC Number: 

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