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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-2026091488-A1, on 2 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-2026-000001225

Automated data generation for bimanual dexterous manipulation in robotics systems and applications

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
FAN LINXI, JIANG ZHENYU, LIN KEVIN, MANDLEKAR AJAY UDAY, WAN WEIKANG, XIE YUQI, XU ZHENJIA, ZHU YUKE
Assignee
NVIDIA CORP
Original source
US-2026091488-A1, the United States Patent and Trademark Office, 2 April 2026
Document SHA-256
c14a79d95db6356bd79a169c3d6ed5ecbb955a5e07492e074760c1d861bb408a

Abstract

In various examples, a technique for neural motion control includes generating a first trajectory associated with a first end effector of an articulated object based at least on a first reference trajectory and one or more transformations between one or more reference poses for one or more objects and one or more new poses for the one or more objects. The technique also includes generating a second trajectory associated with a second end effector of the articulated object based at least on a second reference trajectory and the one or more transformations. The technique further includes determining that a task is successfully completed via execution of the first trajectory and the second trajectory and updating one or more parameters of a machine learning model based at least on the first trajectory and the second trajectory to produce a trained machine learning model.

Publication information

Citation

OpenTechnical Publication OT-2026-000001225, “Automated data generation for bimanual dexterous manipulation in robotics systems and applications,” published September 15, 2026 at 19:04:16 UTC, https://opentechnical.org/p/OT-2026-000001225.

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