Joint visual attention modeling for naturally interacting robotic agents


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.

Date of Conference: 14-16 Sept. 2009
Conference name: 24th International Symposium on Computer and Information Sciences, 2009
Cognitive development, Cognitive skill, Fixation mechanisms, Joint attention, Natural interfaces, Practical implementation, Robotic agents, Robotic design, Visual attention modeling, Information science, Machine design, Robots, Robotics