A conceptual cognitive architecture for robots to learn behaviors from demonstrations in robotic aid area

Author

Tan, Huan ; Liang, Chen

Author_Institution

Electr. Eng. & Comput. Sci. Dept., Vanderbilt Univ., Nashville, TN, USA

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

1249

Lastpage

1252

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.

Keywords

biocybernetics; cognitive systems; handicapped aids; learning (artificial intelligence); medical robotics; behavior learning; cognitive robots; conceptual cognitive architecture; conceptual hybrid cognitive architecture; human teachers; imitation learning technologies; noncentralized processing; robotic aid; Computer architecture; Conferences; Humanoid robots; Humans; Robot sensing systems; USA Councils; Algorithms; Artificial Intelligence; Biomimetics; Cognition; Computer Simulation; Expert Systems; Humans; Models, Theoretical; Robotics; Self-Help Devices;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6090294

Filename

6090294