Active Traversability Learning via Risk-Aware Information Gathering for Planetary Exploration Rovers

Autor:	Masafumi Endo, Genya Ishigami
Rok vydání:	2022
Předmět:	Human-Computer Interaction Control and Optimization Artificial Intelligence Control and Systems Engineering Mechanical Engineering Biomedical Engineering Computer Vision and Pattern Recognition Computer Science Applications
Zdroj:	IEEE Robotics and Automation Letters. 7:11855-11862
ISSN:	2377-3774
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8f697dcc38e715b318e69b22c9a7fc9 https://doi.org/10.1109/lra.2022.3207554 Zobrazit plný text záznamu