Automated behaviour recognition in mobile robots using symbolic dynamic filtering

G. Mallapragada, I. Chattopadhyay, A. Ray

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

This paper introduces a dynamic data-driven method for signature detection in mobile robots. The core concept of the paper is built upon the principles of symbolic dynamic filtering (SDF) that can be used to extract relevant information in complex dynamical systems. The objective here is to identify the robot behaviour in real time as accurately as possible. The proposed method is validated by experimentation on a networked robotics test bed to detect and identify the type and motion profile of the robots under consideration.

Original languageEnglish (US)
Pages (from-to)409-424
Number of pages16
JournalProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume222
Issue number6
DOIs
StatePublished - Oct 6 2008

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering

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