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Machine learning method and apparatus for predicting motion of an object in a robot's environment based on parameters of future robot motion in the environment based on an image capturing the object

机译:机器学习方法和装置,用于基于捕获物体的图像,基于环境中未来机器人运动的参数来预测机器人环境中的物体的运动

摘要

PROBLEM TO BE SOLVED: To predict the movement (s) (if present) generated with respect to an object (s) in an environment of a robot in response to a specific motion of the robot in the environment. Provides a method and device for deep machine learning capable of. Deep to predict at least one transformation (if any) of an image of a robot's environment that should occur as a result of performing at least a portion of a particular movement of the robot in the environment. -Aimed at training neural network models. Deep neural network model training makes it possible to predict transformations based on inputs that include images and robotic motion parameters that define part of a particular motion. [Selection diagram] Fig. 1
机译:解决的问题:预测响应于机器人在环境中的特定运动而相对于机器人环境中的物体产生的运动(如果存在)。提供了一种能够进行深度机器学习的方法和设备。深入研究,以预测由于在环境中执行机器人特定运动的至少一部分而应发生的机器人环境图像的至少一种变换(如果有)。 -旨在训练神经网络模型。深度神经网络模型训练使基于包含图像和定义特定运动一部分的机器人运动参数的输入来预测转换成为可能。 [选择图]图1

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