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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-2026042212-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-2026-000002915

Adaptive robotic control utilizing high-level and low-level strategies

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
ABEYRUWAN SAMINDA WISHWAJITH, D'AMBROSIO DAVID B, GRAESSER LAURA HARDING, SANKETI PANNAG R
Assignee
GDM HOLDING LLC
Original source
US-2026042212-A1, the United States Patent and Trademark Office, 12 February 2026
Document SHA-256
3aa620a90eb80cb1a8ae5ed96fd04c3d0e115d51c59261fda623250aa78789ae

Abstract

A method for controlling an embodied agent involves retrieving visual representations of an environment in which the agent engages in an activity. The visual representations or data derived therefrom are processed using one or more high-level control (HLC) machine learning models to generate HLC output. Based on this output, a shortlist of two or more eligible low-level control (LLC) strategies is identified from a superset of candidates. Skill descriptor metadata associated with the eligible LLC strategies is analyzed, and one strategy is selected. The visual representations or data derived therefrom are then processed using one or more LLC machine learning models associated with the selected strategy to generate LLC output. A control signal for the embodied agent is generated based on this LLC output. The activity can include racket sports, locomotion, or object manipulation.

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Citation

OpenTechnical Publication OT-2026-000002915, “Adaptive robotic control utilizing high-level and low-level strategies,” published September 15, 2026 at 19:16:07 UTC, https://opentechnical.org/p/OT-2026-000002915.

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