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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12576520-B2, on 17 March 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000001906

Techniques for deploying trained machine learning models for robot control

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
FOX DIETER, HANDA ANKUR, LIN MICHAEL ANDRES, NARANG YASHRAJ SHYAM, TOZETO RAMOS FABIO, VAN WYK KARL
Assignee
NVIDIA CORP
Original source
US-12576520-B2, the United States Patent and Trademark Office, 17 March 2026
Document SHA-256
d3dbbb0aa9b0e6fe6e338ca559fc45dba31817858baf0f92f612f6a8f25720f2

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.

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Citation

OpenTechnical Publication OT-2026-000001906, “Techniques for deploying trained machine learning models for robot control,” published September 15, 2026 at 19:09:25 UTC, https://opentechnical.org/p/OT-2026-000001906.

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This record reproduces a document published elsewhere and is provided for reference and study. Rights in the original remain with its owner. See the publication policy.