Development of a guide-dog robot: Human-robot interface considering walking conditions for a visually handicapped person

Shozo Saegusa, Yuya Yasuda, Yoshitaka Uratani, Eiichirou Tanaka, Toshiaki Makino, Jen Yuan Chang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The repletion rate of guide dogs for visually handicapped persons is roughly 10% nationwide. The reasons for this low rate are the long training period and the expense for obtaining a guide dog in Japan. Motivated by these two reasons, we are developing guide-dog robots. The major objective is to develop an intelligent human-robot interface. This paper describes two novel interface algorithms and strategy to guide visually handicapped person. We developed new leading edge searching method, which uses a single laser range finder (LRF) developed to find the center of the corridor in an indoor environment. We also developed a new twin cluster trace method that can recognize the led-person's walking conditions measured by the LRF. The algorithm allows the guide-dog robot to accurately estimate and anticipate the led-person's next move. We experimentally verified these algorithms. The results show that the algorithms are reliable enough to enable the guide-dog robot and the led-person to maneuver in a complex corridor environment.

Original languageEnglish
Pages (from-to)1169-1174
Number of pages6
JournalMicrosystem Technologies
Volume17
Issue number5-7
DOIs
Publication statusPublished - 2011 Jun 1

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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