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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-2026091495-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-2026-000001219

Techniques for robot control based on differentiable task-and-motion planning

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
GARRETT CAELAN REED, GOYAL ANKIT, HERMANS TUCKER RYER, SHEN WILLIAM, TOZETO RAMOS FABIO
Assignee
NVIDIA CORP
Original source
US-2026091495-A1, the United States Patent and Trademark Office, 2 April 2026
Document SHA-256
f4b45ff030ecdc8cb44d4955345c15e1b94fbeac4eaf49e0458db483ec66539d

Abstract

Techniques for controlling a robot includes receiving a task and motion planning (TAMP)-domain language input comprising one or more symbolic elements and one or more continuous elements, generating a TAMP-domain representation based on the TAMP-domain language input, TAMP-domain language data, and one or more subgraph classification rules, generating a robot plan based on the TAMP-domain representation, a state, and a goal, and causing the robot to perform at least part of the robot plan.

Publication information

Citation

OpenTechnical Publication OT-2026-000001219, “Techniques for robot control based on differentiable task-and-motion planning,” published September 15, 2026 at 19:04:13 UTC, https://opentechnical.org/p/OT-2026-000001219.

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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.