title: A conceptual cognitive architecture for robots to learn behaviors from demonstrations in robotic aid area.
abstract: This paper proposes a conceptual hybrid cognitive architecture for cognitive robots to learn behaviors from demonstrations in robotic aid situations. Unlike the current cognitive architectures, this architecture puts concentration on the requirements of the safety, the interaction, and the non-centralized processing in robotic aid situations. Imitation learning technologies for cognitive robots have been integrated into this architecture for rapidly transferring the knowledge and skills between human teachers and robots.
authors.affiliation: Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN 37240, USA. huan.tan@vanderbilt.edu
authors.forename: Huan
authors.initials: H
authors.lastname: Tan
authors.forename: Chen
authors.initials: C
authors.lastname: Liang
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D032701:Biomimetics / Q000379:methods*; D003071:Cognition / Q000502:physiology*; D003198:Computer Simulation; D005103:Expert Systems; D006801:Humans; D008962:Models, Theoretical; D012371:Robotics / Q000379:methods*; D012656:Self-Help Devices