Joint visual attention modeling for naturally interacting robotic agents
2009 24th International Symposium on Computer and Information Sciences, ISCIS 2009
242 - 247
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28626
This paper elaborates on mechanisms for establishing visual joint attention for the design of robotic agents that learn through natural interfaces, following a developmental trajectory not unlike infants. We describe first the evolution of cognitive skills in infants and then the adaptation of cognitive development patterns in robotic design. A comprehensive outlook for cognitively inspired robotic design schemes pertaining to joint attention is presented for the last decade, with particular emphasis on practical implementation issues. A novel cognitively inspired joint attention fixation mechanism is defined for robotic agents. © 2009 IEEE.
- Conference Paper 2294
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