FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W571818863> ?p ?o ?g. }

• W571818863 endingPage "266" @default.
• W571818863 startingPage "257" @default.
• W571818863 abstract "In this paper, we propose a novel hierarchical path planning approach for mobile robot navigation in complex environments. The proposed approach has a two-level structure. In the first level, the A* algorithm based on grids is used to find a geometric path quickly and several path points are selected as subgoals for the next level. In the second level, an approximate policy iteration algorithm called least-squares policy iteration (LSPI) is used to learn a near-optimal local planning policy that can generate smooth trajectories under kinematic constraints of the robot. Using this near-optimal local planning policy, the mobile robot can find an optimized path by sequentially approaching the subgoals obtained in the first level. One advantage of the proposed approach is that the kinematic characteristics of the mobile robot can be incorporated into the LSPI-based path optimization procedure. The second advantage is that the LSPI-based local path optimizer uses an approximate policy iteration algorithm which has been proven to be data-efficient and stable. The training of the local path optimizer can use sample experiences collected randomly from any reasonable sampling distribution. Furthermore, the LSPI-based local path optimizer has the ability of dealing with uncertainties in the environment. For unknown obstacles, it just needs to replan the path in the second level rather than the whole planner. Simulations for path planning in various types of environments have been carried out and the results demonstrate the effectiveness of the proposed approach." @default.
• W571818863 created "2016-06-24" @default.
• W571818863 creator A5032152448 @default.
• W571818863 creator A5053112608 @default.
• W571818863 creator A5054669477 @default.
• W571818863 creator A5057599028 @default.
• W571818863 date "2015-12-01" @default.
• W571818863 modified "2023-09-29" @default.
• W571818863 title "A hierarchical path planning approach based on A ⁎ and least-squares policy iteration for mobile robots" @default.
• W571818863 cites W1602132814 @default.
• W571818863 cites W1969483458 @default.
• W571818863 cites W1974909294 @default.
• W571818863 cites W1979184258 @default.
• W571818863 cites W1986778023 @default.
• W571818863 cites W1996183429 @default.
• W571818863 cites W1997880753 @default.
• W571818863 cites W2004100691 @default.
• W571818863 cites W2012298116 @default.
• W571818863 cites W2014729048 @default.
• W571818863 cites W2015034115 @default.
• W571818863 cites W2016584965 @default.
• W571818863 cites W2034801091 @default.
• W571818863 cites W2053407718 @default.
• W571818863 cites W2072931156 @default.
• W571818863 cites W2077091230 @default.
• W571818863 cites W2086608109 @default.
• W571818863 cites W2098519927 @default.
• W571818863 cites W2103120971 @default.
• W571818863 cites W2103776982 @default.
• W571818863 cites W2105248582 @default.
• W571818863 cites W2109996097 @default.
• W571818863 cites W2110144538 @default.
• W571818863 cites W2120600560 @default.
• W571818863 cites W2121310815 @default.
• W571818863 cites W2126888775 @default.
• W571818863 cites W2128990851 @default.
• W571818863 cites W2140760839 @default.
• W571818863 cites W2141664020 @default.
• W571818863 cites W2148332992 @default.
• W571818863 cites W2158334497 @default.
• W571818863 cites W2163178194 @default.
• W571818863 cites W2164561380 @default.
• W571818863 cites W2171266831 @default.
• W571818863 cites W4299512672 @default.
• W571818863 doi "https://doi.org/10.1016/j.neucom.2014.09.092" @default.
• W571818863 hasPublicationYear "2015" @default.
• W571818863 type Work @default.
• W571818863 sameAs 571818863 @default.
• W571818863 citedByCount "56" @default.
• W571818863 countsByYear W5718188632016 @default.
• W571818863 countsByYear W5718188632017 @default.
• W571818863 countsByYear W5718188632018 @default.
• W571818863 countsByYear W5718188632019 @default.
• W571818863 countsByYear W5718188632020 @default.
• W571818863 countsByYear W5718188632021 @default.
• W571818863 countsByYear W5718188632022 @default.
• W571818863 countsByYear W5718188632023 @default.
• W571818863 crossrefType "journal-article" @default.
• W571818863 hasAuthorship W571818863A5032152448 @default.
• W571818863 hasAuthorship W571818863A5053112608 @default.
• W571818863 hasAuthorship W571818863A5054669477 @default.
• W571818863 hasAuthorship W571818863A5057599028 @default.
• W571818863 hasConcept C105795698 @default.
• W571818863 hasConcept C126255220 @default.
• W571818863 hasConcept C154945302 @default.
• W571818863 hasConcept C185429906 @default.
• W571818863 hasConcept C19966478 @default.
• W571818863 hasConcept C2777735758 @default.
• W571818863 hasConcept C31258907 @default.
• W571818863 hasConcept C33923547 @default.
• W571818863 hasConcept C41008148 @default.
• W571818863 hasConcept C81074085 @default.
• W571818863 hasConcept C90509273 @default.
• W571818863 hasConcept C9936470 @default.
• W571818863 hasConceptScore W571818863C105795698 @default.
• W571818863 hasConceptScore W571818863C126255220 @default.
• W571818863 hasConceptScore W571818863C154945302 @default.
• W571818863 hasConceptScore W571818863C185429906 @default.
• W571818863 hasConceptScore W571818863C19966478 @default.
• W571818863 hasConceptScore W571818863C2777735758 @default.
• W571818863 hasConceptScore W571818863C31258907 @default.
• W571818863 hasConceptScore W571818863C33923547 @default.
• W571818863 hasConceptScore W571818863C41008148 @default.
• W571818863 hasConceptScore W571818863C81074085 @default.
• W571818863 hasConceptScore W571818863C90509273 @default.
• W571818863 hasConceptScore W571818863C9936470 @default.
• W571818863 hasFunder F4320321001 @default.
• W571818863 hasFunder F4320334924 @default.
• W571818863 hasLocation W5718188631 @default.
• W571818863 hasOpenAccess W571818863 @default.
• W571818863 hasPrimaryLocation W5718188631 @default.
• W571818863 hasRelatedWork W1539483014 @default.
• W571818863 hasRelatedWork W1962141875 @default.
• W571818863 hasRelatedWork W1975263927 @default.
• W571818863 hasRelatedWork W2129037092 @default.
• W571818863 hasRelatedWork W2137520303 @default.
• W571818863 hasRelatedWork W2144012216 @default.
• W571818863 hasRelatedWork W2279406337 @default.

• next