Αποτελέσματα - Λεπτομέρειες

[Προσθήκη στο καλάθι]
Τίτλος	Retrainable Object for Ocean Sailing
Συγγραφέας	Καραβέλας, Παναγιώτης
Σύμβουλος διατριβής	Τσιρώνης, Γεώργιος
Μέλος κριτικής επιτροπής	Μπαρμπαρής, Γεώργιος
Περίληψη	Autonomous cars are starting to become a part of our life after their first appearance in 1980s. Since then, several attempts have been tried both to improve them, but also to create other types of autonomous vehicles like planes, drones and boats. In this work we create a new version of an autonomous sailing boat. Where instead of any path finding algorithms we use a basic reinforcement learning algorithm called Q-Learning. We create two versions of an environment where is a sailing boat in the sea with no obstacles. Under this approach we tried different types of rewards in order to find the most appropriate. After all the simulations, we apply the trained model to a prototype of a sailing boat which was built in the University. For the controller of the sailing boat we use low-voltage electronic devises like Arduino, Esp32, several types of sensors and servo motors. As expected the results of the simulation reveal that going along the direction of the wind is much easier than going against it.
Γλώσσα	Αγγλικά
Θέμα	Q-Learning
	R.O.F.O.S.
	Reinforcement learning
Ημερομηνία έκδοσης	2023-11-22
Συλλογή	Σχολή/Τμήμα--Σχολή Θετικών και Τεχνολογικών Επιστημών--Τμήμα Φυσικής--Πτυχιακές εργασίες
	Τύπος Εργασίας--Πτυχιακές εργασίες
Εμφανίσεις	359

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