Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments

Traversability estimation is a core function for robot navigation in off-road unstructured environments and diverse research results have been published so far. One of the recent approaches is using the self-supervised learning (SSL) technique. SSL has been focused on as a breakthrough technique for...

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Vydáno v:	IEEE robotics and automation letters Ročník 9; číslo 6; s. 4902 - 4909
Hlavní autoři:	Yoon, Hyung-Suk, Hwang, Ji-Hoon, Kim, Chan, Son, E In, Yoo, Se-Wook, Seo, Seung-Woo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.06.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	AI-enabled robotics Algorithms continual learning Costs Datasets Estimation Field Robots Navigation Robot sensing systems robotics and automation in agriculture and forestry Robots Self-supervised learning Sensors Training Uncertainty
ISSN:	2377-3766, 2377-3766
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