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The Impact of LiDAR Configuration on Goal-Based Navigation within a Deep Reinforcement Learning Framework

Over the years, deep reinforcement learning (DRL) has shown great potential in mapless autonomous robot navigation and path planning. These DRL methods rely on robots equipped with different light detection and range (LiDAR) sensors with a wide field of view (FOV) configuration to perceive their env...

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Principais autores: Kabirat Bolanle Olayemi, Mien Van, Sean McLoone, Stephen McIlvanna, Yuzhu Sun, Jack Close, Nhat Minh Nguyen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-12-01
coleção:Sensors
Assuntos:
reinforcement learning
deep-reinforcement learning
collision avoidance
husky
gazebo
LiDAR
Acesso em linha:https://www.mdpi.com/1424-8220/23/24/9732
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