Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization
Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization
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MDPI AG
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English
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MDPI AG
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The autonomous landing of an Unmanned Aerial Vehicle (UAV) on a marker is one of the most challenging problems in robotics. Many solutions have been proposed, with the best results achieved via customized geometric features and external sensors. This paper discusses for the first time the use of deep reinforcement learning as an end-to-end learning...
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Sim-to-Real Quadrotor Landing via Sequential Deep Q-Networks and Domain Randomization
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TN_cdi_doaj_primary_oai_doaj_org_article_c001329452044dd7beea211b0d4fbfab
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c001329452044dd7beea211b0d4fbfab
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ISSN
2218-6581
E-ISSN
2218-6581
DOI
10.3390/robotics9010008
