公开(公告)号：US20210402602A1

公开(公告)日：2021-12-30

申请号：US17117718

申请日：2020-12-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jinwook Huh ,  Galen Kailun Xing ,  Ziyun Wang ,  Ibrahim Volkan Isler ,  Daniel Dongyuel Lee

IPC: B25J9/16 ,  G05D1/02

Abstract: A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.

公开(公告)号：US11642787B2

公开(公告)日：2023-05-09

申请号：US17117718

申请日：2020-12-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jinwook Huh ,  Galen Kailun Xing ,  Ziyun Wang ,  Ibrahim Volkan Isler ,  Daniel Dongyuel Lee

IPC: G05B19/04 ,  G05B19/18 ,  B25J9/16 ,  G05D1/02 ,  G01C21/34

CPC classification number: B25J9/1666 ,  B25J9/161 ,  B25J9/163 ,  G01C21/3446 ,  G05D1/0221 ,  G05D1/0251 ,  G05B2219/33028 ,  G05B2219/40455 ,  G05B2219/40506

Abstract: A method for generating a trajectory of a robot from a first configuration to a second configuration within an environment while steering away from obstacles may include obtaining physical workspace information associated with the environment in which the robot is configured to operate; obtaining, using a first neural network, a set of weights of a second neural network that is configured to generate a set of values associated with a set of configurations of the robot with respect to the second configuration; obtaining, by applying the set of weights to the second neural network, the set of values associated with the set of configurations of the robot with respect to the second configuration; and generating the trajectory of the robot from the first configuration to the second configuration within the environment, based on the set of values.