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MACHINE LEARNING METHODS AND APPARATUS RELATED TO PREDICTING MOTION(S) OF OBJECT(S) IN A ROBOT'S ENVIRONMENT BASED ON IMAGE(S) CAPTURING THE OBJECT(S) AND BASED ON PARAMETER(S) FOR FUTURE ROBOT MOVEMENT IN THE ENVIRONMENT
MACHINE LEARNING METHODS AND APPARATUS RELATED TO PREDICTING MOTION(S) OF OBJECT(S) IN A ROBOT'S ENVIRONMENT BASED ON IMAGE(S) CAPTURING THE OBJECT(S) AND BASED ON PARAMETER(S) FOR FUTURE ROBOT MOVEMENT IN THE ENVIRONMENT
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机译:与基于物体捕获的图像和基于参数的机器人环境中的运动预测对象的运动有关的机器学习方法和装置
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摘要
Some implementations of this specification are directed generally to deep machine learning methods and apparatus related to predicting motion(s) (if any) that will occur to object(s) in an environment of a robot in response to particular movement of the robot in the environment. Some implementations are directed to training a deep neural network model to predict at least one transformation (if any), of an image of a robot's environment, that will occur as a result of implementing at least a portion of a particular movement of the robot in the environment. The trained deep neural network model may predict the transformation based on input that includes the image and a group of robot movement parameters that define the portion of the particular movement.
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