Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings

Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings

Direct policy learning (DPL) is a widely used approach in imitation learning for time-efficient and effective convergence when training mobile robots. However, using DPL in real-world applications is not sufficiently explored due to the inherent challenges of mobilizing direct human expertise and th...

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Bibliographic Details
Main Authors: Vidura Sumanasena, Heshan Fernando, Daswin De Silva, Beniel Thileepan, Amila Pasan, Jayathu Samarawickrama, Evgeny Osipov, Damminda Alahakoon
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
imitation learning
direct policy learning
autonomous navigation
mobile robots
Online Access:https://www.mdpi.com/1424-8220/24/1/185

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