基于视觉的PUMA560机械臂的抓取路径规划问题，包括图像采集与处理，机械臂建模，三维重建，视觉伺服控制等内容-Based the visual PUMA560 manipulator the crawl path planning issues, including the contents of the image acquisition and processing, robotic arm modeling, three-dimensional reconstruction, visua

用深度学习做的机械抓取的目标识别，对桌面上的问题进行检测并识别出抓取的区域以及抓取方式-Learning to do with the depth of the object recognition mechanical crawl on the issues on the desktop to detect and identify the areas and crawl crawl way