Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313562880> ?p ?o ?g. }
- W4313562880 abstract "Performing joint interaction requires constant mu-tual monitoring of own actions and their effects on the other's behaviour. Such an action-effect monitoring is boosted by social cues and might result in an increasing sense of agency. Joint actions and joint attention are strictly correlated and both of them contribute to the formation of a precise temporal coordination. In human-robot interaction, the robot's ability to establish joint attention with a human partner and exploit various social cues to react accordingly is a crucial step in creating communicative robots. Along the social component, an effective human-robot interaction can be seen as a new method to improve and make the robot's learning process more natural and robust for a given task. In this work we use different social skills, such as mutual gaze, gaze following, speech and human face recognition, to develop an effective teacher-learner scenario tailored to visual object learning in dynamic environments. Experiments on the iCub robot demonstrate that the system allows the robot to learn new objects through a natural interaction with a human teacher in presence of distractors." @default.
- W4313562880 created "2023-01-06" @default.
- W4313562880 creator A5008949994 @default.
- W4313562880 creator A5009034971 @default.
- W4313562880 creator A5012621119 @default.
- W4313562880 creator A5081028453 @default.
- W4313562880 date "2022-11-28" @default.
- W4313562880 modified "2023-09-26" @default.
- W4313562880 title "iCub Knows Where You Look: Exploiting Social Cues for Interactive Object Detection Learning" @default.
- W4313562880 cites W1505952289 @default.
- W4313562880 cites W1600099874 @default.
- W4313562880 cites W1987411016 @default.
- W4313562880 cites W1992225177 @default.
- W4313562880 cites W2040750201 @default.
- W4313562880 cites W2065488046 @default.
- W4313562880 cites W2069890668 @default.
- W4313562880 cites W2077324971 @default.
- W4313562880 cites W2126233790 @default.
- W4313562880 cites W2135907989 @default.
- W4313562880 cites W2151547103 @default.
- W4313562880 cites W2161222115 @default.
- W4313562880 cites W2194775991 @default.
- W4313562880 cites W2221583396 @default.
- W4313562880 cites W2518866702 @default.
- W4313562880 cites W2588429878 @default.
- W4313562880 cites W2593424870 @default.
- W4313562880 cites W2593463620 @default.
- W4313562880 cites W2612622881 @default.
- W4313562880 cites W2765399109 @default.
- W4313562880 cites W2783371331 @default.
- W4313562880 cites W2806926741 @default.
- W4313562880 cites W2811444527 @default.
- W4313562880 cites W2888782955 @default.
- W4313562880 cites W2962730651 @default.
- W4313562880 cites W2963150697 @default.
- W4313562880 cites W2965164056 @default.
- W4313562880 cites W2965452586 @default.
- W4313562880 cites W2982404315 @default.
- W4313562880 cites W3011487966 @default.
- W4313562880 cites W3034479523 @default.
- W4313562880 cites W3041084772 @default.
- W4313562880 cites W3043892495 @default.
- W4313562880 cites W3048379220 @default.
- W4313562880 cites W3099206234 @default.
- W4313562880 cites W3105411179 @default.
- W4313562880 cites W3119084295 @default.
- W4313562880 cites W3121064434 @default.
- W4313562880 cites W3122547946 @default.
- W4313562880 cites W3127385833 @default.
- W4313562880 cites W3159160236 @default.
- W4313562880 cites W3179862186 @default.
- W4313562880 cites W3205239412 @default.
- W4313562880 cites W4220665452 @default.
- W4313562880 cites W4281259984 @default.
- W4313562880 doi "https://doi.org/10.1109/humanoids53995.2022.10000163" @default.
- W4313562880 hasPublicationYear "2022" @default.
- W4313562880 type Work @default.
- W4313562880 citedByCount "0" @default.
- W4313562880 crossrefType "proceedings-article" @default.
- W4313562880 hasAuthorship W4313562880A5008949994 @default.
- W4313562880 hasAuthorship W4313562880A5009034971 @default.
- W4313562880 hasAuthorship W4313562880A5012621119 @default.
- W4313562880 hasAuthorship W4313562880A5081028453 @default.
- W4313562880 hasBestOaLocation W43135628802 @default.
- W4313562880 hasConcept C10090317 @default.
- W4313562880 hasConcept C107457646 @default.
- W4313562880 hasConcept C111151474 @default.
- W4313562880 hasConcept C111919701 @default.
- W4313562880 hasConcept C121332964 @default.
- W4313562880 hasConcept C127413603 @default.
- W4313562880 hasConcept C137878579 @default.
- W4313562880 hasConcept C138496976 @default.
- W4313562880 hasConcept C145460709 @default.
- W4313562880 hasConcept C154945302 @default.
- W4313562880 hasConcept C15744967 @default.
- W4313562880 hasConcept C162947575 @default.
- W4313562880 hasConcept C165696696 @default.
- W4313562880 hasConcept C166957645 @default.
- W4313562880 hasConcept C180747234 @default.
- W4313562880 hasConcept C188888258 @default.
- W4313562880 hasConcept C19966478 @default.
- W4313562880 hasConcept C201995342 @default.
- W4313562880 hasConcept C205778803 @default.
- W4313562880 hasConcept C2776608160 @default.
- W4313562880 hasConcept C2779916870 @default.
- W4313562880 hasConcept C2780451532 @default.
- W4313562880 hasConcept C2780791683 @default.
- W4313562880 hasConcept C2781238097 @default.
- W4313562880 hasConcept C38652104 @default.
- W4313562880 hasConcept C41008148 @default.
- W4313562880 hasConcept C56739046 @default.
- W4313562880 hasConcept C60692881 @default.
- W4313562880 hasConcept C62520636 @default.
- W4313562880 hasConcept C65401140 @default.
- W4313562880 hasConcept C79416737 @default.
- W4313562880 hasConcept C90509273 @default.
- W4313562880 hasConcept C95457728 @default.
- W4313562880 hasConcept C98045186 @default.
- W4313562880 hasConceptScore W4313562880C10090317 @default.
- W4313562880 hasConceptScore W4313562880C107457646 @default.