An action decision mechanism using fuzzy-neural network in voice commanded fuzzy coach-player system for robots

Keigo Watanabe, Kiyotaka Izumi, Ayumu Ohshima, Shin Ichi Ishii

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

2 Citations (Scopus)


In this paper, research on achieving a cooperation between human and robot is described in the framework of a fuzzy coach-player system, where a human is regarded as a coach, a robot is viewed as a player, and the human speech languages including several fuzzy implications are used as one communication way. In particular, a reasoning mechanism based on fuzzy neural network is proposed to determine the control input to the robot, in order to obtain the adequate amount of the robot action desired by the human in response to the environmental situation. For the training of the network, design parameters in the consequent part are adjusted so as to realize the holding and moving of an object by the robot commanded with the human voice instructions. The effectiveness of the present system is illustrated through experiments for a piling work of colored objects in 3-D space.

Original languageEnglish
Title of host publication2006 SICE-ICASE International Joint Conference
Number of pages6
Publication statusPublished - 2006
Externally publishedYes
Event2006 SICE-ICASE International Joint Conference - Busan, Korea, Republic of
Duration: Oct 18 2006Oct 21 2006

Publication series

Name2006 SICE-ICASE International Joint Conference


Other2006 SICE-ICASE International Joint Conference
Country/TerritoryKorea, Republic of


  • Fuzzy neural networks
  • Human and robot cooperation
  • Voice commands
  • Work in 3-D space

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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