Transporter Network for Determining Robot Actions
개요
발명자
Andy Zeng
IPC 분류
CPC 분류
A transporter network for determining robot actions based on sensor feedback can afford robots with efficient autonomous movement. The transporter network may exploit spatial symmetries and may not need assumptions of objectness to provide accurate instructions on object manipulation. The machine-learned model of the transporter network may also allow for learning various tasks with less training examples than other machine-learned models. The machine-learned model of the transporter network may intake observation data as input and may output actions in response to the processed observation data.
원문 (중국어)
A transporter network for determining robot actions based on sensor feedback can afford robots with efficient autonomous movement. The transporter network may exploit spatial symmetries and may not need assumptions of objectness to provide accurate instructions on object manipulation. The machine-learned model of the transporter network may also allow for learning various tasks with less training examples than other machine-learned models. The machine-learned model of the transporter network may intake observation data as input and may output actions in response to the processed observation data.