nao机器人抓取程序，python的代码程序亲测可用， 谢谢支持。

halcon软件开发包基础上做机器人的手眼标定，涉及许多专业知识，在这些讲义里详细讲解了标定的数学基础，原理等，以及实现手段，6轴机器人抓取标定实例

基于深度学习的机器人抓取检测 采用康奈尔大学抓取数据集 We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach to solve this problem, which avoids time-consuming hand-design of features. This presents two main challenges. First, we need to evaluate a huge number of candidate grasps. In order to make detection fast and robust, we present a two-step cascaded system with two deep networks, where the top detections from the first are re-evaluated by the second. The first network has fewer features, is faster to run, and can effectively prune out unlikely candidate grasps. The second, with more features, is slower but has to run only on the top few detections. Second, we need to handle multimodal inputs effectively, for which we present a method that applies structured regularization on the weights based on multimodal group regularization. We show that our method improves performance on an RGBD robotic grasping dataset, and can be used to successfully execute grasps on two different robotic platforms.

nao机器人抓取程序，python的代码程序亲测可用， 谢谢支持。

baxter机器人抓取杯子Baxter_pick_cup_game-master.zip，进行抓取杯子的操作，自动识别，自动抓取，包括物体识别加运动规划

nao机器人抓取程序，python的代码程序

nao机器人抓取程序，python的代码程序亲测可用， 谢谢支持。