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TRAJECTORY GENERATION OF A ROBOT USING A NEURAL NETWORK

机译:使用神经网络的机器人的轨迹产生

摘要

A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.
机译:一种用于将机器人的轨迹从第一配置产生到环境内的第二配置的方法,同时远离障碍物引导,可以包括获得与机器人被配置为操作的环境相关联的物理工作空间信息; 使用第一神经网络获得一组第二神经网络的权重,其被配置为生成与机器人的一组配置相对于第二配置产生的一组值; 通过将重量集应用于第二神经网络,与机器人的一组相对于第二配置相关联的一组值; 基于该组值,将机器人的轨迹从第一配置生成到环境中的第二配置。

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