首页>
外国专利>
Determining grasping parameters for grasping of an object by a robot grasping end effector
Determining grasping parameters for grasping of an object by a robot grasping end effector
展开▼
机译:确定用于通过机器人抓握末端执行器抓取物体的抓取参数
展开▼
页面导航
摘要
著录项
相似文献
摘要
Methods and apparatus related to training and/or utilizing a convolutional neural network to generate grasping parameters for an object. The grasping parameters can be used by a robot control system to enable the robot control system to position a robot grasping end effector to grasp the object. The trained convolutional neural network provides a direct regression from image data to grasping parameters. For example, the convolutional neural network may be trained to enable generation of grasping parameters in a single regression through the convolutional neural network. In some implementations, the grasping parameters may define at least: a “reference point” for positioning the grasping end effector for the grasp; and an orientation of the grasping end effector for the grasp.
展开▼