Occupancy Reward-Driven Exploration with Deep Reinforcement Learning for Mobile Robot System

This paper investigates the solution to a mobile-robot exploration problem following autonomous driving principles. The exploration task is formulated in this study as a process of building a map while a robot moves in an indoor environment beginning from full uncertainties. The sequence of robot de...

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Bibliographic Details
Main Authors: Albina Kamalova, Suk Gyu Lee, Soon Hak Kwon
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/18/9249