Paper Info
Title
Joint visual attention modeling for naturally interacting robotic agents
Abstract
This paper elaborates on mechanisms for estab- lishing 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.
Year
DOI
Venue
2009
10.1109/ISCIS.2009.5291820
ISCIS
Keywords
Field
DocType
humanoid robots,learning (artificial intelligence),man-machine systems,mobile robots,position control,robot vision,cognitive development patterns,cognitive skills,cognitively inspired joint attention fixation mechanism,cognitively inspired robotic design schemes,developmental trajectory,human-robot interaction,joint visual attention modeling,natural interfaces,naturally interacting robotic agents,robotic design
Robot vision,Joint attention,Computer science,Human–computer interaction,Visual attention,Cognitive skill,Artificial intelligence,Cognitive development,Human–robot interaction,Mobile robot,Humanoid robot,Distributed computing
Conference
Citations 
PageRank 
References 
11
0.74
10
Authors
4
Name
Order
Citations
PageRank
Zeynep Yücel1597.92
Albert Ali Salah280970.11
Çetin Meriçli3568.55
Tekin Meriçli4456.06