Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

© 2020 IAA Precision landing on large and small planetary bodies is a technology of utmost importance for future human and robotic exploration of the solar system. In this context, the Zero-Effort-Miss/Zero-Effort-Velocity (ZEM/ZEV) feedback guidance algorithm has been studied extensively and is sti...

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Bibliographic Details
Main Authors: Furfaro, Roberto, Scorsoglio, Andrea, Linares, Richard, Massari, Mauro
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:English
Published: Elsevier BV 2021
Online Access:https://hdl.handle.net/1721.1/135439

Internet

https://hdl.handle.net/1721.1/135439

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