By Topic

Integrating Robot Task Scripts with a Cognitive Architecture for Cognitive Human-Robot Interactions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Yuchul Jung ; School of Engineering, Information and Communications University 119, Munjiro, Yuseong-gu, Daejeon, 305-732, Korea. enthusia77@icu.ac.kr, gsgphg@icu.ac.kr, comnme@icu.ac.kr ; Yoonjung Choi ; Hugun Park ; Wookhyun Shin
more authors

In spite of the long history of intelligent humanoid robots, endowing human-like commonsense knowledge to a robot is still a difficult problem. Since a knowledge base consisting of a large number of rules and facts is not an efficient structure that can express situational and background knowledge for humanoid robots, more compact yet forgiving representation is required. Our proposal is to employ a script design that contains richness and diversity needed for robot's task planning, in conjunction with a robust cognitive architecture called EM-ONE, the latest extant account of an implemented cognitive architecture. The script structure has its advantages in flexibility and extensibility for a variety of situations or tasks at hand, along with reusability. As the number of scripts increases, the coverage for diverseness of human-robot interaction (HRI) situation grows. In this paper, we discuss three cognitive models used as our cognitive architecture basis and describe our efforts for generating task scripts in a semi-automatic way by reusing the already existing scripts.

Published in:

2007 IEEE International Conference on Information Reuse and Integration

Date of Conference:

13-15 Aug. 2007