@inproceedings{56067940f7cd4455b1e20fd50a350ecd,
title = "Overview of Meta-Reinforcement Learning Methods for Autonomous Landing Guidance",
abstract = "This paper presents a vision-based method for autonomous planetary powered descent and landing using meta-reinforcement learning. The goal is map observations to thrust commands directly using a deep neural network. Two iterations of the method are presented. First the 3-degrees-of-freedom powered descent pinpoint landing is solved using images, altitude and vertical rate as inputs. Then the problem of landing site selection, solved using a secondary neural network that performs semantic segmentation, is introduced. The final model is capable of autonomously select a landing area and guide the spacecraft to the designated landing site using only images as input.",
keywords = "Meta-reinforcement learning, Spacecraft guidance",
author = "Andrea Scorsoglio and Luca Ghilardi and Roberto Furfaro",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd International Conference on Applied Intelligence and Informatics , AII 2022 ; Conference date: 01-09-2022 Through 03-09-2022",
year = "2023",
doi = "10.1007/978-3-031-25755-1_4",
language = "English (US)",
isbn = "9783031257544",
series = "Studies in Computational Intelligence",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "49--63",
editor = "Cosimo Ieracitano and Nadia Mammone and {Di Clemente}, Marco and Mufti Mahmud and Roberto Furfaro and Morabito, {Francesco Carlo}",
booktitle = "The Use of Artificial Intelligence for Space Applications - Workshop at the 2022 International Conference on Applied Intelligence and Informatics",
address = "Germany",
}