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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-2026042209-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-2026-000002973

Grasp pose prediction

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Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
BIRCHFIELD STANLEY THOMAS, BLUKIS VALTS, FOX DIETER, LEE TAEYEOP, TREMBLAY JONATHAN, WEN BOWEN
Assignee
NVIDIA CORP
Original source
US-2026042209-A1, the United States Patent and Trademark Office, 12 February 2026
Document SHA-256
e5ea27098f0f6685e65c5be99f322706a7c1e15a75a930e617c4974956d8aaf1

Abstract

Apparatuses, systems, and techniques to generate and select grasp proposals. In at least one embodiment, grasp proposals are generated and selected using one or more neural networks, based on, for example, a latent code corresponding to an object.

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Citation

OpenTechnical Publication OT-2026-000002973, “Grasp pose prediction,” published September 15, 2026 at 19:16:29 UTC, https://opentechnical.org/p/OT-2026-000002973.

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