Robot Navigation in Crowded Environments: A Reinforcement Learning Approach

Robot Navigation in Crowded Environments: A Reinforcement Learning Approach

For a mobile robot, navigation in a densely crowded space can be a challenging and sometimes impossible task, especially with traditional techniques. In this paper, we present a framework to train neural controllers for differential drive mobile robots that must safely navigate a crowded environment...

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Bibliographic Details
Main Authors: Matteo Caruso, Enrico Regolin, Federico Julian Camerota Verdù, Stefano Alberto Russo, Luca Bortolussi, Stefano Seriani
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Machines
Subjects:
mobile robotics
neural networks
control systems
reinforcement learning
crowd navigation
Online Access:https://www.mdpi.com/2075-1702/11/2/268

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