Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles

Control theory provides engineers with a multitude of tools to design controllers that manipulate the closed-loop behavior and stability of dynamical systems. These methods rely heavily on insights into the mathematical model governing the physical system. However, in complex systems, such as autono...

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Bibliographic Details
Main Authors: Simen Theie Havenstrøm, Adil Rasheed, Omer San
Format: Article
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Robotics and AI
Online Access: