RL-DOVS: Reinforcement Learning for Autonomous Robot Navigation in Dynamic Environments

RL-DOVS: Reinforcement Learning for Autonomous Robot Navigation in Dynamic Environments

Autonomous navigation in dynamic environments where people move unpredictably is an essential task for service robots in real-world populated scenarios. Recent works in reinforcement learning (RL) have been applied to autonomous vehicle driving and to navigation around pedestrians. In this paper, we...

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Bibliographic Details
Main Authors: Andrew K. Mackay, Luis Riazuelo, Luis Montano
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
reinforcement learning
autonomous navigation
dynamic environments
navigation strategies
Online Access:https://www.mdpi.com/1424-8220/22/10/3847

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