首页>
外国专利>
Machine Learning-Based Systems and Methods for Controlling Robotic Object Picking and Placement in Training and Run Time Environments
Machine Learning-Based Systems and Methods for Controlling Robotic Object Picking and Placement in Training and Run Time Environments
展开▼
机译:基于机器学习的系统和方法,用于在训练和运行时环境中控制机器人的拾取和放置
展开▼
页面导航
摘要
著录项
相似文献
摘要
Methods, systems, and software for controlling object picking and placement by a robot system are disclosed. The method includes assigning machine learning training data of a machine learning model for an object. The machine learning training data includes a plurality of known grasp location labels assigned to the object positioned in a plurality of different object poses. The method includes providing the object in a work space of the robot system. For the object in the work space in a first pose of the plurality of different object poses, the method includes: mapping a first candidate grasp location on the object; executing robotic movements for the first candidate grasp location on the object; and evaluating a result of the executing for the first candidate grasp location according to at least one predetermined performance criteria.
展开▼