Reinforcement learning: The application to autonomous biomimetic underwater vehicles control
Abstract
The Autonomous Biomimetic Vehicles have been increasing in popularity in the past few years. Controlling such type of vehicles is not trivial: due to its complex dynamics and kinematics, it is complex to analytically derive controllers that can efficiently perform a given task, such as reaching a given position target in a minimum time. In this paper we will evaluate the results of the implementation of a reinforcement algorithm in autonomous biomimetic underwater vehicles, providing a new way to control this type of vehicles in which the algorithm is in constant learning.
- Publication:
-
IOP Conference Series: Earth and Environmental Science
- Pub Date:
- June 2018
- DOI:
- 10.1088/1755-1315/172/1/012019
- Bibcode:
- 2018E&ES..172a2019M