Automated behaviour recognition in mobile robots using symbolic dynamic filtering-Reference-Cited by-同舟云学术

Automated behaviour recognition in mobile robots using symbolic dynamic filtering

Published:2008-09-01 Issue:6 Volume:222 Page:409-424
ISSN:0959-6518
Container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Author:

Mallapragada G¹,Chattopadhyay I¹,Ray A¹

Affiliation:

1. Mechanical Engineering Department, Pennsylvania State University, Pennsylvania, PA, USA

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.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/09596518JSCE583

Reference23 articles.

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