Pedestrian-behavior-based mobile agent control in intelligent space

Péter Tamas Szemes, Hideki Hashimoto, P. Korondi

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

This paper investigates a human walking behavior-based mobile robot control system. The Intelligent Space (iSpace) is a distributed sensory system, which is the background infrastructure to observe human walking in a limited area. The observation of human walking behavior is applied to train fuzzy-neural networks (FNN). The trained FNNs are applied to approximate the obstacle avoidance behavior of human walking. The paper introduces the iSpace and the mobile agents, which are mobile robots, utilizing the intelligence of the iSpace. The observed and trained human walking behaviors are applied to control the mobile agent in a human-robot shared environment. Experimental results demonstrate the effectiveness of the FNN-based control system.

Original languageEnglish
Pages (from-to)2250-2257
Number of pages8
JournalIEEE Transactions on Instrumentation and Measurement
Volume54
Issue number6
DOIs
Publication statusPublished - Dec 2005

Fingerprint

walking
Fuzzy neural networks
Mobile agents
Mobile robots
Control systems
Collision avoidance
robots
Robots
robot control
obstacle avoidance
intelligence

Keywords

  • Automatic learning
  • Fuzzy neural network
  • Human behavior
  • Human-robot shared environment
  • Intelligent Space
  • Mobile agent
  • Obstacle avoidance
  • Sensory network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

Pedestrian-behavior-based mobile agent control in intelligent space. / Szemes, Péter Tamas; Hashimoto, Hideki; Korondi, P.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 54, No. 6, 12.2005, p. 2250-2257.

Research output: Contribution to journalArticle

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