Precision Landing for Rockets using Deep Reinforcement Learning
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United States of America Patent
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Jul 28, 2022
app pub date -
Jan 25, 2021
filing date -
Jan 25, 2021
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Abstract
The invention is methods for landing rockets with precision using deep reinforcement learning for control. Embodiments of the invention are comprised of three steps. First, sensors collect data about the rocket's physical landing environment, passing information to rocket's database and processors. Second, the processors manipulate the information with a deep reinforcement learning program to produce instructions. Third, the instructions command the rocket's control system for optimal performance during landing.
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