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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-2026097490-A1, on 9 April 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-2026-000000993

Deployment for unified neural motion control in robotics systems and applications

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Classification
Robotics & Automation › Robot Architectures
Inventors
FAN LINXI, HE TAIRAN, JIANG ZHENYU, KAUTZ JAN, Lin toru, LUO ZHENGYI, WANG XIAOLONG, XIAO WENLI, XU ZHENJIA, ZHU YUKE
Assignee
NVIDIA CORP
Original source
US-2026097490-A1, the United States Patent and Trademark Office, 9 April 2026
Document SHA-256
5fc3c711568794294f30cf9d660f12526b1af9b3c8cce2b1682147409ca7f844

Abstract

In various examples, a technique for neural motion control includes determining a plurality of masks associated with one or more control modes for an articulated object. The technique also includes applying the plurality of masks to a plurality of goal state attributes for the articulated object to produce one or more masked goal state attributes. The technique further includes generating, via execution of a trained machine learning model, one or more actions based at least on the one or more masked goal state attributes and performing a task using the articulated object based at least on the one or more actions.

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Citation

OpenTechnical Publication OT-2026-000000993, “Deployment for unified neural motion control in robotics systems and applications,” published September 15, 2026 at 19:03:42 UTC, https://opentechnical.org/p/OT-2026-000000993.

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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.