Google Inc.

Wenhao Yu

Yunfei Bai

Alexander Herzog

Chuyuan Fu

Wenlong Lu

Daniel Ho

Zhuo Xu

C Karen Liu

Utilization of past dynamics sample(s), that reflect past contact physics information, in training and/or utilizing a neural network model. The neural network model represents a learned value function (e.g., a Q-value function) and that, when trained, can be used in selecting a sequence of robotic actions to implement in robotic manipulation (e.g., pushing) of an object by a robot. In various implementations, a past dynamics sample for an episode of robotic manipulation can include at least two past images from the episode, as well as one or more past force sensor readings that temporally correspond to the past images from the episode.

Utilizing past contact physics in robotic manipulation (e.g., pushing) of an object

Growing community of inventors

Sunnyvale, CA, United States of America

Wenhao Yu