OctoPath: An OcTree-Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots

EPI Consortium members published “OctoPath: An OcTree-Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots” in Sensors.

Here you can find a link to an open access version of the article:

https://www.mdpi.com/1424-8220/21/11/3606

DOI: https://doi.org/10.3390/s21113606

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Publication Type: Journal Article

Year of Publication: 2021

Authors: Bogdan Trasnea - Claudiu Pozna - Cosmin Ginerica - Gigel Macesanu - Mihai Zaha - Sorin Grigorescu

Publisher: MDPI

Name of publication/Event:

ISSN Number: 1424-8220

Keywords:

URL:

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OctoPath: An OcTree-Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots

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