公开(公告)号：US20200279134A1

公开(公告)日：2020-09-03

申请号：US16649599

申请日：2018-09-20

Applicant: GOOGLE LLC

Inventor： Konstantinos Bousmalis ,  Alexander Irpan ,  Paul Wohlhart ,  Yunfei Bai ,  Mrinal Kalakrishnan ,  Julian Ibarz ,  Sergey Vladimir Levine ,  Kurt Konolige ,  Vincent O. Vanhoucke ,  Matthew Laurance Kelcey

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  B25J9/16

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an action selection neural network that is used to control a robotic agent interacting with a real-world environment.

公开(公告)号：US12083678B2

公开(公告)日：2024-09-10

申请号：US17422260

申请日：2020-01-23

Applicant: Google LLC

Inventor： Mrinal Kalakrishnan ,  Yunfei Bai ,  Paul Wohlhart ,  Eric Jang ,  Chelsea Finn ,  Seyed Mohammad Khansari Zadeh ,  Sergey Levine ,  Allan Zhou ,  Alexander Herzog ,  Daniel Kappler

IPC: B25J9/16

CPC classification number: B25J9/163 ,  G05B2219/40116 ,  G05B2219/40499

Abstract: Techniques are disclosed that enable training a meta-learning model, for use in causing a robot to perform a task, using imitation learning as well as reinforcement learning. Some implementations relate to training the meta-learning model using imitation learning based on one or more human guided demonstrations of the task. Additional or alternative implementations relate to training the meta-learning model using reinforcement learning based on trials of the robot attempting to perform the task. Further implementations relate to using the trained meta-learning model to few shot (or one shot) learn a new task based on a human guided demonstration of the new task.

公开(公告)号：US20240238967A1

公开(公告)日：2024-07-18

申请号：US18605452

申请日：2024-03-14

Applicant: Google LLC

Inventor： Paul Wohlhart ,  Stephen James ,  Mrinal Kalakrishnan ,  Konstantinos Bousmalis

IPC: B25J9/16 ,  G05B13/02 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2431 ,  G06N3/045 ,  G06N3/08 ,  G06T7/50 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10

CPC classification number: B25J9/161 ,  B25J9/163 ,  B25J9/1671 ,  B25J9/1697 ,  G05B13/027 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/2431 ,  G06N3/045 ,  G06N3/08 ,  G06T7/50 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a generator neural network to adapt input images.

公开(公告)号：US11951622B2

公开(公告)日：2024-04-09

申请号：US17656137

申请日：2022-03-23

Applicant: Google LLC

Inventor： Paul Wohlhart ,  Stephen James ,  Mrinal Kalakrishnan ,  Konstantinos Bousmalis

IPC: G06T7/00 ,  B25J9/16 ,  G05B13/02 ,  G06F18/21 ,  G06F18/214 ,  G06F18/2431 ,  G06N3/045 ,  G06N3/08 ,  G06T7/50 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10

CPC classification number: B25J9/161 ,  B25J9/163 ,  B25J9/1671 ,  B25J9/1697 ,  G05B13/027 ,  G06F18/2148 ,  G06F18/217 ,  G06F18/2431 ,  G06N3/045 ,  G06N3/08 ,  G06T7/50 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V20/10 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a generator neural network to adapt input images.

公开(公告)号：US11341364B2

公开(公告)日：2022-05-24

申请号：US16649599

申请日：2018-09-20

Applicant: GOOGLE LLC

Inventor： Konstantinos Bousmalis ,  Alexander Irpan ,  Paul Wohlhart ,  Yunfei Bai ,  Mrinal Kalakrishnan ,  Julian Ibarz ,  Sergey Vladimir Levine ,  Kurt Konolige ,  Vincent O. Vanhoucke ,  Matthew Laurance Kelcey

IPC: G06K9/62 ,  B25J9/16 ,  G06N3/04 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an action selection neural network that is used to control a robotic agent interacting with a real-world environment.

公开(公告)号：US20220105624A1

公开(公告)日：2022-04-07

申请号：US17422260

申请日：2020-01-23

Applicant: Google LLC

Inventor： Mrinal Kalakrishnan ,  Yunfei Bai ,  Paul Wohlhart ,  Eric Jang ,  Chelsea Finn ,  Seyed Mohammad Khansari Zadeh ,  Sergey Levine ,  Allan Zhou ,  Alexander Herzog ,  Daniel Kappler

IPC: B25J9/16

Abstract: Techniques are disclosed that enable training a meta-learning model, for use in causing a robot to perform a task, using imitation learning as well as reinforcement learning. Some implementations relate to training the meta-learning model using imitation learning based on one or more human guided demonstrations of the task. Additional or alternative implementations relate to training the meta-learning model using reinforcement learning based on trials of the robot attempting to perform the task. Further implementations relate to using the trained meta-learning model to few shot (or one shot) learn a new task based on a human guided demonstration of the new task.