Machine learning for trajectory planning

US12055934B2 · kind B2 · utility

Assignee

• Raytheon Company · US

Inventors

• Harrison A. Brown · Denver, US
• Darrell L. Young · Falls Church, US

Key dates

• Filing date: Feb 10, 2022
• Grant date: Aug 6, 2024
• Expiry date: Apr 23, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Discussed herein are devices, systems, and methods for improved trajectory planning. A method can include providing two of (i) a first value indicating a change in velocity to alter an orbit of a first object to a transfer orbit; (ii) a second value indicating a range between the first object and a second object; or (iii) a third value indicating an altitude of the first object relative to a celestial body around which the first and second objects are orbiting as input to a machine learning (ML) model, receiving, from the ML model, a holdout value, the holdout value a prediction of the value, of the first value, the second value, and the third value, that was not provided to the ML model, and providing the holdout value to an orbital planner.