Multifunctional Robot Grasping System Based on Deep Learning and Image Processing

This paper firstly introduces the general architecture of the multifunctional harvesting robot grasping system; then, deep learning is used to investigate the object target recognition, and a set of target detection algorithm based on convolutional neural network is implemented; then, image processing technology is used to realize the function of target object localization, which can guide the multifunctional harvesting robot to complete the picking of the target multifunctional. The experimental results show that the multifunctional harvesting robot has a small calculation error of multifunctional coordinates and has a strong multifunctional recognition and positioning capability.