Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback

A. G.Buddhika P. Jayasekara, Keigo Watanabe, Kazuo Kiguchi, Kiyotaka Izumi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

This paper proposes a method to adapt robot behaviors toward user's perception by human teaching. Human-friendly robotic system should be able to understand the fuzzy linguistic information based on the user's guidance and the environmental conditions. The contextual meaning of fuzzy linguistic information depends on the conditions of the environment. Therefore, user's perception is acquired to evaluate the fuzzy linguistic information in user commands based on fuzzy voice feedback. The primitive behaviors are evaluated by behavior evaluation network (BEN). Feedback evaluation system (FES) is introduced to evaluate the user feedback to correct the robot's perception by adapting the BEN. This yields the adaptation of the system for understanding fuzzy linguistic information toward the corresponding environment. A situation of cooperative rearrangement of user's working space is simulated to illustrate the system. This is demonstrated by using a PA-10 robot manipulator.

Original languageEnglish
Title of host publicationRO-MAN 2009 - 18th IEEE International Symposium on Robot and Human Interactive
Pages395-400
Number of pages6
DOIs
Publication statusPublished - Dec 1 2009
Externally publishedYes
Event18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009 - Toyama, Japan
Duration: Sept 27 2009Oct 2 2009

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Other

Other18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009
Country/TerritoryJapan
CityToyama
Period9/27/0910/2/09

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback'. Together they form a unique fingerprint.

Cite this