Reinforcement Learning to Calculate Routes for Simulated Robot Safety Cones

This paper presents a model of a cone using reinforcement learning, harnessing the self-learning capacity of Artificial Intelligence to improve process efficiency. The independent operation of the cone is achieved through a reward and punishment system based on approaching or reaching the goal. The...

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Bibliographic Details

Published in:	Engineering Proceedings
Main Authors:	Eva Murio, Jesús Balado, Pedro Arias
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Subjects:	reinforcement learning pathfinding simulation road environment work zone
Online Access:	https://www.mdpi.com/2673-4591/56/1/165