Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912215027> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2912215027 endingPage "15151" @default.
- W2912215027 startingPage "15140" @default.
- W2912215027 abstract "A dynamic path planning method based on a gated recurrent unit-recurrent neural network model is proposed for the problem of path planning of a mobile robot in an unknown space. A deep neural network with sensor input is used to generate a new control strategy output to the physical model to control the movement of the robot and thus achieve collision avoidance behavior. Inputs and tags are derived from sample sets generated by an improved artificial potential field and an improved ant colony optimization algorithm. In order to make the ant colony algorithm converge quickly, the pheromone trail and the state transition probability are improved. The field function of the artificial potential field method is modified. Using the end-to-end network model to learn the mapping between input and output in the sample data, the direction and speed of the mobile robot are obtained. The simulation experiments and realistic simulations show that the network model can plan a reasonable path in an unknown environment. Compared with other traditional path planning algorithms, the proposed method is more robust than the traditional path planning algorithms to differences in the robot structure." @default.
- W2912215027 created "2019-02-21" @default.
- W2912215027 creator A5035991550 @default.
- W2912215027 creator A5042054600 @default.
- W2912215027 creator A5068894237 @default.
- W2912215027 creator A5082075857 @default.
- W2912215027 creator A5082977792 @default.
- W2912215027 date "2019-01-01" @default.
- W2912215027 modified "2023-10-16" @default.
- W2912215027 title "A Novel GRU-RNN Network Model for Dynamic Path Planning of Mobile Robot" @default.
- W2912215027 cites W1617861041 @default.
- W2912215027 cites W1968975597 @default.
- W2912215027 cites W1983972263 @default.
- W2912215027 cites W2013724094 @default.
- W2912215027 cites W2026535857 @default.
- W2912215027 cites W2039167866 @default.
- W2912215027 cites W2082279538 @default.
- W2912215027 cites W2100561003 @default.
- W2912215027 cites W2143508399 @default.
- W2912215027 cites W2145339207 @default.
- W2912215027 cites W2157678966 @default.
- W2912215027 cites W2235553398 @default.
- W2912215027 cites W2255466643 @default.
- W2912215027 cites W2410991046 @default.
- W2912215027 cites W2530263920 @default.
- W2912215027 cites W2562163136 @default.
- W2912215027 cites W2563244137 @default.
- W2912215027 cites W2565555125 @default.
- W2912215027 cites W2581596705 @default.
- W2912215027 cites W2738638683 @default.
- W2912215027 cites W2746411854 @default.
- W2912215027 cites W2764190863 @default.
- W2912215027 cites W2963428623 @default.
- W2912215027 cites W82800091 @default.
- W2912215027 doi "https://doi.org/10.1109/access.2019.2894626" @default.
- W2912215027 hasPublicationYear "2019" @default.
- W2912215027 type Work @default.
- W2912215027 sameAs 2912215027 @default.
- W2912215027 citedByCount "45" @default.
- W2912215027 countsByYear W29122150272019 @default.
- W2912215027 countsByYear W29122150272020 @default.
- W2912215027 countsByYear W29122150272021 @default.
- W2912215027 countsByYear W29122150272022 @default.
- W2912215027 countsByYear W29122150272023 @default.
- W2912215027 crossrefType "journal-article" @default.
- W2912215027 hasAuthorship W2912215027A5035991550 @default.
- W2912215027 hasAuthorship W2912215027A5042054600 @default.
- W2912215027 hasAuthorship W2912215027A5068894237 @default.
- W2912215027 hasAuthorship W2912215027A5082075857 @default.
- W2912215027 hasAuthorship W2912215027A5082977792 @default.
- W2912215027 hasBestOaLocation W29122150271 @default.
- W2912215027 hasConcept C147168706 @default.
- W2912215027 hasConcept C154945302 @default.
- W2912215027 hasConcept C199360897 @default.
- W2912215027 hasConcept C19966478 @default.
- W2912215027 hasConcept C2777735758 @default.
- W2912215027 hasConcept C40128228 @default.
- W2912215027 hasConcept C41008148 @default.
- W2912215027 hasConcept C50644808 @default.
- W2912215027 hasConcept C81074085 @default.
- W2912215027 hasConcept C90509273 @default.
- W2912215027 hasConceptScore W2912215027C147168706 @default.
- W2912215027 hasConceptScore W2912215027C154945302 @default.
- W2912215027 hasConceptScore W2912215027C199360897 @default.
- W2912215027 hasConceptScore W2912215027C19966478 @default.
- W2912215027 hasConceptScore W2912215027C2777735758 @default.
- W2912215027 hasConceptScore W2912215027C40128228 @default.
- W2912215027 hasConceptScore W2912215027C41008148 @default.
- W2912215027 hasConceptScore W2912215027C50644808 @default.
- W2912215027 hasConceptScore W2912215027C81074085 @default.
- W2912215027 hasConceptScore W2912215027C90509273 @default.
- W2912215027 hasFunder F4320321001 @default.
- W2912215027 hasFunder F4320323085 @default.
- W2912215027 hasLocation W29122150271 @default.
- W2912215027 hasOpenAccess W2912215027 @default.
- W2912215027 hasPrimaryLocation W29122150271 @default.
- W2912215027 hasRelatedWork W1904098742 @default.
- W2912215027 hasRelatedWork W1980828932 @default.
- W2912215027 hasRelatedWork W2077416514 @default.
- W2912215027 hasRelatedWork W2078020041 @default.
- W2912215027 hasRelatedWork W2161428574 @default.
- W2912215027 hasRelatedWork W2170661558 @default.
- W2912215027 hasRelatedWork W2359600231 @default.
- W2912215027 hasRelatedWork W2618632915 @default.
- W2912215027 hasRelatedWork W3158921809 @default.
- W2912215027 hasRelatedWork W4285338599 @default.
- W2912215027 hasVolume "7" @default.
- W2912215027 isParatext "false" @default.
- W2912215027 isRetracted "false" @default.
- W2912215027 magId "2912215027" @default.
- W2912215027 workType "article" @default.