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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-2026042204-A1, on 12 February 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-2026-000002967

Long-term perception for robotics systems and applications

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
ANWAR ABRAR, BISWAS JOYDEEP, CHANG YAN
Assignee
NVIDIA CORP
Original source
US-2026042204-A1, the United States Patent and Trademark Office, 12 February 2026
Document SHA-256
25ae5333ca88a2b1b6f64df5dbca820cf18f2ac9105d2a9a94ad4ab4e05d94e4

Abstract

In various examples, a technique for performing a task includes converting one or more sensory inputs obtained using one or more sensors of a machine into a plurality of segments. The technique also includes, for each segment included in the plurality of segments, generating, via execution of a machine learning model, a caption for the segment, and storing, in a data store, a representation of the caption in association with the segment. The technique further includes performing, by the machine, one or more actions based at least on one or more queries of the data store.

Publication information

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Citation

OpenTechnical Publication OT-2026-000002967, “Long-term perception for robotics systems and applications,” published September 15, 2026 at 19:16:27 UTC, https://opentechnical.org/p/OT-2026-000002967.

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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.