Environmental sensor bridge system for communication robots

Kentaro Ishii, Michita Imai

Research output: Contribution to journalArticle

Abstract

This paper proposes an environmental sensor bridge system named COSPI for autonomous communication robots. In the near future, various sensors will get installed in day-to-day environments and robots will use information from these sensors to recognize their surroundings. To this end, different sensors can be installed in different environments. COSPI enables the robots to work with different sensor configuration environments without requiring any robot software reconfiguration. The basic idea of COSPI is the abstraction of recognition types. We investigate 278 recognition routines in behavior modules of a communication robot that works in practical situations and classify them based on communication cues of the communication robot. COSPI facilitates robot behavior development as robot behavior and sensor processing procedures can be independently developed. Furthermore, COSPI encourages the reuse of environmental sensor modules for other robot tasks or applications within the same environment. We have conducted an experiment to confirm that a robot can work in a visual sensor environment, in an infrared ray and pyroelectric sensor environment, and in an optical motion capture system environment. The results showed that robots can work using sensor information from environmental sensors in all these environments.

Original languageEnglish
Pages (from-to)211-221
Number of pages11
JournalJournal of Ambient Intelligence and Smart Environments
Volume1
Issue number3
DOIs
Publication statusPublished - 2009

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Robots
Communication
Sensors
Information use
Infrared radiation
Processing

Keywords

  • Communication robot
  • Human-robot interaction
  • Robot behavior development
  • Sensor network

ASJC Scopus subject areas

  • Software

Cite this

Environmental sensor bridge system for communication robots. / Ishii, Kentaro; Imai, Michita.

In: Journal of Ambient Intelligence and Smart Environments, Vol. 1, No. 3, 2009, p. 211-221.

Research output: Contribution to journalArticle

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