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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Principais autores:	Vidura Sumanasena, Heshan Fernando, Daswin De Silva, Beniel Thileepan, Amila Pasan, Jayathu Samarawickrama, Evgeny Osipov, Damminda Alahakoon
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-12-01
Series:	Sensors
Assuntos:	imitation learning direct policy learning autonomous navigation mobile robots
Acceso en liña:	https://www.mdpi.com/1424-8220/24/1/185
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