Matches in SemOpenAlex for { <https://semopenalex.org/work/W1486177145> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W1486177145 endingPage "961" @default.
- W1486177145 startingPage "953" @default.
- W1486177145 abstract "This paper presents a method, which enables a robot to extract demonstrator’s key motions based on imitation learning through unsegmented human motion. When a robot learns another’s motions from unsegmented time series, the robot has to find what he learns from the continuous motion. The learning architecture is developed mainly based on a switching autoregressive model (SARM), a simple phrase extraction method, and singular vector decomposition to discriminate key motions. In most previous research on methods of imitation learning by autonomous robots, target motions that were given to robots were segmented into several meaningful parts by the experimenters in advance. However, to imitate certain behaviors from the continuous motion of a person, the robot needs to find segments that should be learned. In our approach, the learning architecture converts the continuous time series into a discrete time series of letters by using SARM, finds candidates of key motions by using a simple phrase extractor which utilizes n-gram statistics, and removes meaningless segments from the keywords by utilizing singular vector decomposition (SVD) to achieve this goal,. In our experiment, a demonstrator displayed several unsegmented motions to a robot. The results revealed that the framework enabled the robot to obtain several prepared key motions." @default.
- W1486177145 created "2016-06-24" @default.
- W1486177145 creator A5002933139 @default.
- W1486177145 creator A5023160093 @default.
- W1486177145 date "2009-01-01" @default.
- W1486177145 modified "2023-09-26" @default.
- W1486177145 title "Imitation Learning from Unsegmented Human Motion Using Switching Autoregressive Model and Singular Vector Decomposition" @default.
- W1486177145 cites W1977576450 @default.
- W1486177145 cites W1982486572 @default.
- W1486177145 cites W2011017250 @default.
- W1486177145 cites W2055184000 @default.
- W1486177145 cites W2076044107 @default.
- W1486177145 cites W2103825197 @default.
- W1486177145 doi "https://doi.org/10.1007/978-3-642-02490-0_116" @default.
- W1486177145 hasPublicationYear "2009" @default.
- W1486177145 type Work @default.
- W1486177145 sameAs 1486177145 @default.
- W1486177145 citedByCount "2" @default.
- W1486177145 crossrefType "book-chapter" @default.
- W1486177145 hasAuthorship W1486177145A5002933139 @default.
- W1486177145 hasAuthorship W1486177145A5023160093 @default.
- W1486177145 hasConcept C104114177 @default.
- W1486177145 hasConcept C126388530 @default.
- W1486177145 hasConcept C136272165 @default.
- W1486177145 hasConcept C149782125 @default.
- W1486177145 hasConcept C154945302 @default.
- W1486177145 hasConcept C15744967 @default.
- W1486177145 hasConcept C159877910 @default.
- W1486177145 hasConcept C22789450 @default.
- W1486177145 hasConcept C26517878 @default.
- W1486177145 hasConcept C2776224158 @default.
- W1486177145 hasConcept C31972630 @default.
- W1486177145 hasConcept C33923547 @default.
- W1486177145 hasConcept C38652104 @default.
- W1486177145 hasConcept C41008148 @default.
- W1486177145 hasConcept C77805123 @default.
- W1486177145 hasConcept C90509273 @default.
- W1486177145 hasConceptScore W1486177145C104114177 @default.
- W1486177145 hasConceptScore W1486177145C126388530 @default.
- W1486177145 hasConceptScore W1486177145C136272165 @default.
- W1486177145 hasConceptScore W1486177145C149782125 @default.
- W1486177145 hasConceptScore W1486177145C154945302 @default.
- W1486177145 hasConceptScore W1486177145C15744967 @default.
- W1486177145 hasConceptScore W1486177145C159877910 @default.
- W1486177145 hasConceptScore W1486177145C22789450 @default.
- W1486177145 hasConceptScore W1486177145C26517878 @default.
- W1486177145 hasConceptScore W1486177145C2776224158 @default.
- W1486177145 hasConceptScore W1486177145C31972630 @default.
- W1486177145 hasConceptScore W1486177145C33923547 @default.
- W1486177145 hasConceptScore W1486177145C38652104 @default.
- W1486177145 hasConceptScore W1486177145C41008148 @default.
- W1486177145 hasConceptScore W1486177145C77805123 @default.
- W1486177145 hasConceptScore W1486177145C90509273 @default.
- W1486177145 hasLocation W14861771451 @default.
- W1486177145 hasOpenAccess W1486177145 @default.
- W1486177145 hasPrimaryLocation W14861771451 @default.
- W1486177145 hasRelatedWork W1586938801 @default.
- W1486177145 hasRelatedWork W1880584337 @default.
- W1486177145 hasRelatedWork W2011017250 @default.
- W1486177145 hasRelatedWork W2020168303 @default.
- W1486177145 hasRelatedWork W2032277247 @default.
- W1486177145 hasRelatedWork W2038545421 @default.
- W1486177145 hasRelatedWork W2056639157 @default.
- W1486177145 hasRelatedWork W2088052883 @default.
- W1486177145 hasRelatedWork W2098548015 @default.
- W1486177145 hasRelatedWork W2106338164 @default.
- W1486177145 hasRelatedWork W2113646123 @default.
- W1486177145 hasRelatedWork W2128677288 @default.
- W1486177145 hasRelatedWork W2151610676 @default.
- W1486177145 hasRelatedWork W2209991756 @default.
- W1486177145 hasRelatedWork W2214715755 @default.
- W1486177145 hasRelatedWork W2252953085 @default.
- W1486177145 hasRelatedWork W2545129501 @default.
- W1486177145 hasRelatedWork W2554539212 @default.
- W1486177145 hasRelatedWork W3180400604 @default.
- W1486177145 hasRelatedWork W3181750766 @default.
- W1486177145 isParatext "false" @default.
- W1486177145 isRetracted "false" @default.
- W1486177145 magId "1486177145" @default.
- W1486177145 workType "book-chapter" @default.