公开(公告)号：US20240095527A1

公开(公告)日：2024-03-21

申请号：US18448049

申请日：2023-08-10

Applicant: NVIDIA CORPORATION

Inventor： Ankur HANDA ,  Gavriel STATE ,  Arthur David ALLSHIRE ,  Dieter FOX ,  Jean-Francois Victor LAFLECHE ,  Jingzhou LIU ,  Viktor MAKOVIICHUK ,  Yashraj Shyam NARANG ,  Aleksei Vladimirovich PETRENKO ,  Ritvik SINGH ,  Balakumar SUNDARALINGAM ,  Karl VAN WYK ,  Alexander ZHURKEVICH

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: Systems and techniques are described related to training one or more machine learning models for use in control of a robot. In at least one embodiment, one or more machine learning models are trained based at least on simulations of the robot and renderings of such simulations—which may be performed using one or more ray tracing algorithms, operations, or techniques.

公开(公告)号：US20240300100A1

公开(公告)日：2024-09-12

申请号：US18490630

申请日：2023-10-19

Applicant: NVIDIA CORPORATION

Inventor： Yashraj Shyam NARANG ,  Ankur HANDA ,  Karl VAN WYK ,  Dieter FOX ,  Michael Andres LIN ,  Fabio TOZETO RAMOS

IPC: B25J9/16

CPC classification number: B25J9/163 ,  B25J9/1653 ,  B25J9/1664

Abstract: One embodiment of a method for controlling a robot includes receiving sensor data indicating a state of the robot, generating an action based on the sensor data and a trained machine learning model, computing a target state of the robot based on the action and a previous target state of the robot, and causing the robot to move based on the target state of the robot.

公开(公告)号：US20250083309A1

公开(公告)日：2025-03-13

申请号：US18646312

申请日：2024-04-25

Applicant: NVIDIA Corporation

Inventor： Nathan Donald RATLIFF ,  Karl VAN WYK ,  Ankur HANDA ,  Viktor MAKOVIICHUK ,  Yijie GUO ,  Jie XU ,  Tyler LUM ,  Balakumar SUNDARALINGAM ,  Jingzhou LIU

IPC: B25J9/16

Abstract: In various examples, systems and methods are disclosed relating to geometric fabrics for accelerated policy learning and sim-to-real transfer in robotics systems, platforms, and/or applications. For example, a system can provide an input indicative of a goal pose for a robot to a model to cause the model to generate an output, the output representing a plurality of points along a path for movement of the robot to the goal pose; and generate one or more control signals for operation of the robot based at least on the plurality of points along the path and a policy corresponding to one or more criteria for the operation of the robot. In examples, the system can provide the one or more control signals to the robot to cause the robot to move toward the goal pose.