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Actuator fault recovery with deep reinforcement learning in a linear model-based control framework: Application to a physical AUV

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The International Journal of Robotics Research

Published online on

Abstract

The International Journal of Robotics Research, Ahead of Print.
Actuator faults in autonomous mobile robotic systems pose significant challenges, especially in unpredictable environments where system reliability is paramount. Fault tolerant control (FTC) strategies, particularly those leveraging actuator redundancy, ...