Deep Reinforcement Learning-Based Failure-Safe Motion Planning for a 4-Wheeled 2-Steering Lunar Rover
The growing trend of onboard computational autonomy has increased the need for self-reliant rovers (SRRs) with high efficiency for unmanned rover activities. Mobility is directly associated with a successful execution mission, thus fault response for actuator failures is highly crucial for planetary...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/10/3/219 |