Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads
Transporting suspended payloads is challenging for autonomous aerial vehicles because the payload can cause significant and unpredictable changes to the robot's dynamics. These changes can lead to suboptimal flight performance or even catastrophic failure. Although adaptive control and learning...
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Published in | IEEE robotics and automation letters Vol. 6; no. 2; pp. 1471 - 1478 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.04.2021
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Subjects | |
Online Access | Get full text |
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