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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-2026091491-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-2026-000001149

Skill learning and adaptation for robotic devices via multimodal human interaction

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Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
CUI YUCHEN, LIU XIAOXI
Assignee
INTUITIVEMOTION AL INC
Original source
US-2026091491-A1, the United States Patent and Trademark Office, 2 April 2026
Document SHA-256
3561b85f7654dd9e583dd4d6229c8d7f999d4b213fb0362e414b2c0a1ebda231

Abstract

A system for robotic skill learning and adaptation including a processor configured to receive and integrate inputs including visual data from multimodal control sources for controlling robotic platforms, process the integrated inputs to enhance robotic task planning and execution capabilities using large language models and computer vision algorithms, direct robotic movements based on the processed input from the foundation model integration module, perform real-time quality assessment during operation of the robotic platform, retrieve and store robotic task execution data, and providing the robotic task execution data to the robotic platforms upon request, adapt robotic behavior across multiple robotic platforms by analyzing data, updating the shareable knowledge base, and modifying robotic control parameters based on the updated knowledge base.

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Citation

OpenTechnical Publication OT-2026-000001149, “Skill learning and adaptation for robotic devices via multimodal human interaction,” published September 15, 2026 at 19:03:56 UTC, https://opentechnical.org/p/OT-2026-000001149.

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