Agile Adaptive Control
The agile adaptive control algorithm addresses slow learning in autonomous vehicles by updating design parameters using an agile learning model, enhancing responsiveness and accuracy without additional calibration, thus improving safety and performance.
DE102025104317B3Active Publication Date: 2026-06-03GM GLOBAL TECHNOLOGY OPERATIONS LLC
Patent Information
- Application Number
- DE102025104317
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2024-12-17
- Filing Date
- 2025-02-06
- Publication Date
- 2026-06-03
- Estimated Expiration
- 2045-02-06
Smart Images
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Abstract
A method using agile adaptive control (A2C) includes receiving planning data, which encompasses a desired vehicle path, as input to an agile adaptive control model, and receiving vehicle data as input to the agile adaptive control model. The method further includes determining, based on the planning and vehicle data, that a vehicle position error exceeds a position threshold, and initiating an agile learning model of the adaptive control model to update initial adaptive design parameters based on the planning and vehicle data. The method also includes generating updated adaptive design parameters and generating a control command using a control model of the adaptive control model based on the updated adaptive design parameters.
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Citation Information
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