Parts Grasping by Intelligent Industrial Robots Based on Image Matching Algorithms and CNNs
This study proposes an intelligent industrial robot part-grasping optimization model that integrates image-matching algorithms with convolutional neural networks. The model employs SuperPoint-based feature matching and introduces multi-scale convolution and a channel attention mechanism to enhance feature extraction. A...