{
  "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.",
  "assignees": [
    "TEKTRONIX INC"
  ],
  "authors": [
    "PICKERD JOHN J",
    "SHARMA AJAIEY KUMAR",
    "TAN KAN"
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  "source_date": "2026-03-24",
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  "title": "Automated cavity filter tuning using machine learning",
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