Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure

Goutham Mallapragada, Asok Ray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses dynamic data-driven signature detection in mobile robots. The core concept of the paper is built upon the principles of Symbolic Dynamic Filtering (SDF) that has been recently reported in literature for extraction of relevant information (i.e., features) in complex dynamical systems. The objective here is to identify the robot behavior in real time as accurately as possible. Two different approaches to classifier design are presented in the paper; the first one is Bayesian and the second is based on measures of formal languages. The proposed methods have been experimentally validated on a networked robotic testbed to detect and identify the type and motion profile of the robots under consideration.

Original languageEnglish (US)
Title of host publication2009 American Control Conference, ACC 2009
Pages1329-1334
Number of pages6
DOIs
StatePublished - Nov 23 2009
Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
Duration: Jun 10 2009Jun 12 2009

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2009 American Control Conference, ACC 2009
CountryUnited States
CitySt. Louis, MO
Period6/10/096/12/09

Fingerprint

Mobile robots
Robots
Formal languages
Testbeds
Dynamical systems
Robotics
Classifiers

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Mallapragada, G., & Ray, A. (2009). Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure. In 2009 American Control Conference, ACC 2009 (pp. 1329-1334). [5160145] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2009.5160145
Mallapragada, Goutham ; Ray, Asok. / Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure. 2009 American Control Conference, ACC 2009. 2009. pp. 1329-1334 (Proceedings of the American Control Conference).
@inproceedings{ce4881a1320943c5ac0ad0a06a54e220,
title = "Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure",
abstract = "This paper addresses dynamic data-driven signature detection in mobile robots. The core concept of the paper is built upon the principles of Symbolic Dynamic Filtering (SDF) that has been recently reported in literature for extraction of relevant information (i.e., features) in complex dynamical systems. The objective here is to identify the robot behavior in real time as accurately as possible. Two different approaches to classifier design are presented in the paper; the first one is Bayesian and the second is based on measures of formal languages. The proposed methods have been experimentally validated on a networked robotic testbed to detect and identify the type and motion profile of the robots under consideration.",
author = "Goutham Mallapragada and Asok Ray",
year = "2009",
month = "11",
day = "23",
doi = "10.1109/ACC.2009.5160145",
language = "English (US)",
isbn = "9781424445240",
series = "Proceedings of the American Control Conference",
pages = "1329--1334",
booktitle = "2009 American Control Conference, ACC 2009",

}

Mallapragada, G & Ray, A 2009, Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure. in 2009 American Control Conference, ACC 2009., 5160145, Proceedings of the American Control Conference, pp. 1329-1334, 2009 American Control Conference, ACC 2009, St. Louis, MO, United States, 6/10/09. https://doi.org/10.1109/ACC.2009.5160145

Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure. / Mallapragada, Goutham; Ray, Asok.

2009 American Control Conference, ACC 2009. 2009. p. 1329-1334 5160145 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure

AU - Mallapragada, Goutham

AU - Ray, Asok

PY - 2009/11/23

Y1 - 2009/11/23

N2 - This paper addresses dynamic data-driven signature detection in mobile robots. The core concept of the paper is built upon the principles of Symbolic Dynamic Filtering (SDF) that has been recently reported in literature for extraction of relevant information (i.e., features) in complex dynamical systems. The objective here is to identify the robot behavior in real time as accurately as possible. Two different approaches to classifier design are presented in the paper; the first one is Bayesian and the second is based on measures of formal languages. The proposed methods have been experimentally validated on a networked robotic testbed to detect and identify the type and motion profile of the robots under consideration.

AB - This paper addresses dynamic data-driven signature detection in mobile robots. The core concept of the paper is built upon the principles of Symbolic Dynamic Filtering (SDF) that has been recently reported in literature for extraction of relevant information (i.e., features) in complex dynamical systems. The objective here is to identify the robot behavior in real time as accurately as possible. Two different approaches to classifier design are presented in the paper; the first one is Bayesian and the second is based on measures of formal languages. The proposed methods have been experimentally validated on a networked robotic testbed to detect and identify the type and motion profile of the robots under consideration.

UR - http://www.scopus.com/inward/record.url?scp=70449686223&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449686223&partnerID=8YFLogxK

U2 - 10.1109/ACC.2009.5160145

DO - 10.1109/ACC.2009.5160145

M3 - Conference contribution

AN - SCOPUS:70449686223

SN - 9781424445240

T3 - Proceedings of the American Control Conference

SP - 1329

EP - 1334

BT - 2009 American Control Conference, ACC 2009

ER -

Mallapragada G, Ray A. Behavior Recognition in Mobile Robots Using Symbolic Dynamic Filtering and Language Measure. In 2009 American Control Conference, ACC 2009. 2009. p. 1329-1334. 5160145. (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2009.5160145