Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891234582> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2891234582 abstract "Exploration region selection is an essential decision making process in autonomous robot exploration task. While a majority of greedy methods are proposed to deal with this problem, few efforts are made to investigate the importance of predicting long-term planning. In this paper, we present an algorithm that utilizes deep reinforcement learning (DRL) to learn exploration knowledge over office blueprints, which enables the agent to predict a long-term visiting order for unexplored subregions. On the basis of this algorithm, we propose an exploration architecture that integrates a DRL model, a next-best-view (NBV) selection approach and a structural integrity measurement to further improve the exploration performance. At the end of this paper, we evaluate the proposed architecture against other methods on several new office maps, showing that the agent can efficiently explore uncertain regions with a shorter path and smarter behaviors." @default.
- W2891234582 created "2018-09-27" @default.
- W2891234582 creator A5008549662 @default.
- W2891234582 creator A5021531143 @default.
- W2891234582 creator A5072234330 @default.
- W2891234582 creator A5072824702 @default.
- W2891234582 creator A5083545249 @default.
- W2891234582 date "2018-05-01" @default.
- W2891234582 modified "2023-10-15" @default.
- W2891234582 title "Deep Reinforcement Learning Supervised Autonomous Exploration in Office Environments" @default.
- W2891234582 cites W1569601317 @default.
- W2891234582 cites W2000214310 @default.
- W2891234582 cites W2009906883 @default.
- W2891234582 cites W2013229266 @default.
- W2891234582 cites W2024162894 @default.
- W2891234582 cites W2076518796 @default.
- W2891234582 cites W2089437550 @default.
- W2891234582 cites W2103009569 @default.
- W2891234582 cites W2145339207 @default.
- W2891234582 cites W2151250975 @default.
- W2891234582 cites W2296693980 @default.
- W2891234582 cites W2580369984 @default.
- W2891234582 cites W2752596383 @default.
- W2891234582 cites W2962887844 @default.
- W2891234582 cites W4252003911 @default.
- W2891234582 doi "https://doi.org/10.1109/icra.2018.8463213" @default.
- W2891234582 hasPublicationYear "2018" @default.
- W2891234582 type Work @default.
- W2891234582 sameAs 2891234582 @default.
- W2891234582 citedByCount "65" @default.
- W2891234582 countsByYear W28912345822018 @default.
- W2891234582 countsByYear W28912345822019 @default.
- W2891234582 countsByYear W28912345822020 @default.
- W2891234582 countsByYear W28912345822021 @default.
- W2891234582 countsByYear W28912345822022 @default.
- W2891234582 countsByYear W28912345822023 @default.
- W2891234582 crossrefType "proceedings-article" @default.
- W2891234582 hasAuthorship W2891234582A5008549662 @default.
- W2891234582 hasAuthorship W2891234582A5021531143 @default.
- W2891234582 hasAuthorship W2891234582A5072234330 @default.
- W2891234582 hasAuthorship W2891234582A5072824702 @default.
- W2891234582 hasAuthorship W2891234582A5083545249 @default.
- W2891234582 hasConcept C111919701 @default.
- W2891234582 hasConcept C119857082 @default.
- W2891234582 hasConcept C123657996 @default.
- W2891234582 hasConcept C127413603 @default.
- W2891234582 hasConcept C142362112 @default.
- W2891234582 hasConcept C153349607 @default.
- W2891234582 hasConcept C154945302 @default.
- W2891234582 hasConcept C155911762 @default.
- W2891234582 hasConcept C201995342 @default.
- W2891234582 hasConcept C2780451532 @default.
- W2891234582 hasConcept C41008148 @default.
- W2891234582 hasConcept C78519656 @default.
- W2891234582 hasConcept C81917197 @default.
- W2891234582 hasConcept C90509273 @default.
- W2891234582 hasConcept C97541855 @default.
- W2891234582 hasConcept C98045186 @default.
- W2891234582 hasConceptScore W2891234582C111919701 @default.
- W2891234582 hasConceptScore W2891234582C119857082 @default.
- W2891234582 hasConceptScore W2891234582C123657996 @default.
- W2891234582 hasConceptScore W2891234582C127413603 @default.
- W2891234582 hasConceptScore W2891234582C142362112 @default.
- W2891234582 hasConceptScore W2891234582C153349607 @default.
- W2891234582 hasConceptScore W2891234582C154945302 @default.
- W2891234582 hasConceptScore W2891234582C155911762 @default.
- W2891234582 hasConceptScore W2891234582C201995342 @default.
- W2891234582 hasConceptScore W2891234582C2780451532 @default.
- W2891234582 hasConceptScore W2891234582C41008148 @default.
- W2891234582 hasConceptScore W2891234582C78519656 @default.
- W2891234582 hasConceptScore W2891234582C81917197 @default.
- W2891234582 hasConceptScore W2891234582C90509273 @default.
- W2891234582 hasConceptScore W2891234582C97541855 @default.
- W2891234582 hasConceptScore W2891234582C98045186 @default.
- W2891234582 hasLocation W28912345821 @default.
- W2891234582 hasOpenAccess W2891234582 @default.
- W2891234582 hasPrimaryLocation W28912345821 @default.
- W2891234582 hasRelatedWork W260766989 @default.
- W2891234582 hasRelatedWork W2959276766 @default.
- W2891234582 hasRelatedWork W2961085424 @default.
- W2891234582 hasRelatedWork W3074294383 @default.
- W2891234582 hasRelatedWork W3111983280 @default.
- W2891234582 hasRelatedWork W3139193008 @default.
- W2891234582 hasRelatedWork W4206669594 @default.
- W2891234582 hasRelatedWork W4295941380 @default.
- W2891234582 hasRelatedWork W4306674287 @default.
- W2891234582 hasRelatedWork W4319083788 @default.
- W2891234582 isParatext "false" @default.
- W2891234582 isRetracted "false" @default.
- W2891234582 magId "2891234582" @default.
- W2891234582 workType "article" @default.