---
publication_id: "OT-2026-000001578"
title: "Automated cavity filter tuning using machine learning"
published_at: "2026-09-15T19:06:47.624132Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000001578"
categories:
  - "robotics-automation/robot-architectures"
keywords:
  - "b25j9/1697"
  - "b25j9/1697"
  - "g01r27/32"
  - "b25j9/16"
  - "g06n3/096"
  - "g06t11/00"
---

# Automated cavity filter tuning using machine learning

## Abstract

A test and measurement instrument connects to one or more devices under test (DUT) having tuning screws, and to a robot, and has one or more processors to: command the robot to position the tuning screws on the DUTs to one or more sets of positions, each set of positions being a parameter set for the tuning screws, acquire a set of operating parameters for each parameter set from the DUTs, generate a parameter set image for each set, create a combined image of the parameter set images, provide the combined image to a machine learning system to obtain a predicted set of values, adjust the predicted set of values to produce a set of predicted positions, command the robot to position the tuning screws to positions in the set of predicted positions, obtain a set of tuned operating parameters from the DUTs, and validate operation of the DUTs.