IROS 2015 Paper Abstract

Close

Paper ThAP.30

Kim, Eunji (Kyung Hee University), Namyeon, Lee (Sungkyul University), Kwangho, Park (Center for Advanced Information Technology), Kwon, Ohbyung (Kyung Hee University)

Method for Exceptional Human Robot Interaction Using Crowd-Knowledge

Scheduled for presentation during the Poster session "Late Breaking Posters" (ThAP), Thursday, October 1, 2015, 09:45−10:00, Saal G1

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept 28 - Oct 03, 2015, Congress Center Hamburg, Hamburg, Germany

This information is tentative and subject to change. Compiled on July 19, 2019

Keywords Human-Robot Interaction, Voice, Speech Synthesis and Recognition, Service Robots

Abstract

This research is about the research on the use of crowd knowledge to process exceptional locutionary acts occurring in interaction between robots and humans. To handle users’ locutionary acts which do not include the already defined dialogs, scripts and schema, this study used the text mining results of users’ reviews which can be considered to be crowd-knowledge. By combining the pre-defined dialogs, scripts and schema with a proposed method, this study suggested a method of enabling a robot to understand users’ locutionary acts widely and give responses properly.

 

 

Technical Content © IEEE Robotics & Automation Society


This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2019 PaperCept, Inc.
Page generated 2019-07-19  14:01:23 PST  Terms of use