Recognition and classification of road condition on the basis of friction force by using a mobile robot

Tatsuhito Watanabe, Seiichiro Katsura

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A person operating a mobile robot in a remote environment receives realistic visual feedback about the condition of the road on which the robot is moving. The categorization of the road condition is necessary to evaluate the conditions for safe and comfortable driving. For this purpose, the mobile robot should be capable of recognizing and classifying the condition of the road surfaces. This paper proposes a method for recognizing the type of road surfaces on the basis of the friction between the mobile robot and the road surfaces. This friction is estimated by a disturbance observer, and a support vector machine is used to classify the surfaces. The support vector machine identifies the type of the road surface using feature vector, which is determined using the arithmetic average and variance derived from the torque values. Further, these feature vectors are mapped onto a higher dimensional space by using a kernel function. The validity of the proposed method is confirmed by experimental results.

Original languageEnglish
JournalIEEJ Transactions on Industry Applications
Volume131
Issue number3
DOIs
Publication statusPublished - 2011

Fingerprint

Mobile robots
Friction
Support vector machines
Torque
Robots
Feedback

Keywords

  • Disturbance observer
  • Environment recognition
  • Mobile robot
  • Motion control
  • Real-world haptics
  • Support vector machine

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

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