OPENTECHNICAL PUBLICATION
OT-2026-000002915

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

Published: 2026-09-15T19:16:07.083657Z
Permanent URL: https://opentechnical.org/p/OT-2026-000002915
Categories: Robotics & Automation > Robot Architectures

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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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OpenTechnical publication OT-2026-000002915
Published 2026-09-15T19:16:07.083657Z
https://opentechnical.org/p/OT-2026-000002915