Autonomous Navigation of Robots: Optimization with DQN
Autonomous Navigation of Robots: Optimization with DQN
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Basel: MDPI AG
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English
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Basel: MDPI AG
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In the field of artificial intelligence, control systems for mobile robots have undergone significant advancements, particularly within the realm of autonomous learning. However, previous studies have primarily focused on predefined paths, neglecting real-time obstacle avoidance and trajectory reconfiguration. This research introduces a novel algor...
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Autonomous Navigation of Robots: Optimization with DQN
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TN_cdi_doaj_primary_oai_doaj_org_article_d86933bbe015459b8a15ab327da8d1f7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d86933bbe015459b8a15ab327da8d1f7
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13127202