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 publicationProceedings - IEEE International Workshop on Robot and Human Interactive Communication
Pages395-400
Number of pages6
DOIs
Publication statusPublished - 2009
Event18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009 - Toyama, Japan
Duration: Sep 27 2009Oct 2 2009

Other

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

Fingerprint

Linguistics
Robots
Feedback
Manipulators
Teaching
Robotics

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

Cite this

Jayasekara, A. G. B. P., Watanabe, K., Kiguchi, K., & Izumi, K. (2009). Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback. In Proceedings - IEEE International Workshop on Robot and Human Interactive Communication (pp. 395-400). [5326305] https://doi.org/10.1109/ROMAN.2009.5326305

Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback. / Jayasekara, A. G Buddhika P; Watanabe, Keigo; Kiguchi, Kazuo; Izumi, Kiyotaka.

Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2009. p. 395-400 5326305.

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

Jayasekara, AGBP, Watanabe, K, Kiguchi, K & Izumi, K 2009, Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback. in Proceedings - IEEE International Workshop on Robot and Human Interactive Communication., 5326305, pp. 395-400, 18th IEEE International Symposium on Robot and Human Interactive, RO-MAN 2009, Toyama, Japan, 9/27/09. https://doi.org/10.1109/ROMAN.2009.5326305
Jayasekara AGBP, Watanabe K, Kiguchi K, Izumi K. Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback. In Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2009. p. 395-400. 5326305 https://doi.org/10.1109/ROMAN.2009.5326305
Jayasekara, A. G Buddhika P ; Watanabe, Keigo ; Kiguchi, Kazuo ; Izumi, Kiyotaka. / Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication. 2009. pp. 395-400
@inproceedings{84af7bf003e747bfb574134d297cc202,
title = "Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback",
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.",
author = "Jayasekara, {A. G Buddhika P} and Keigo Watanabe and Kazuo Kiguchi and Kiyotaka Izumi",
year = "2009",
doi = "10.1109/ROMAN.2009.5326305",
language = "English",
isbn = "9781424450817",
pages = "395--400",
booktitle = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",

}

TY - GEN

T1 - Adaptation of robot behaviors toward user perception on fuzzy linguistic information by fuzzy voice feedback

AU - Jayasekara, A. G Buddhika P

AU - Watanabe, Keigo

AU - Kiguchi, Kazuo

AU - Izumi, Kiyotaka

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=72849118017&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=72849118017&partnerID=8YFLogxK

U2 - 10.1109/ROMAN.2009.5326305

DO - 10.1109/ROMAN.2009.5326305

M3 - Conference contribution

SN - 9781424450817

SP - 395

EP - 400

BT - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

ER -