Electromagnetic field recognition for proactive robot communication connectivity maintenance

Author

Ayad, Mouloud ; Zhang, J.J. ; Voyles, Richard ; Mahoor, M.H.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA

fYear

2012

Firstpage

401

Lastpage

405

Abstract

This paper presents a method for proactive robot communication connectivity maintenance based on electromagnetic field (EMF) recognition. The proposed EMF recognition method utilizes hidden Markov models (HMMs) for learning EMF environments based on radio frequency (RF) signal strength measurements. A proactive motion control algorithm then uses the EMF recognition results to drive the robots towards favorable positions. Our numerical simulation demonstrates promising EMF recognition results and their ability in proactive robot motion control for connectivity maintenance.

Keywords

electromagnetic fields; hidden Markov models; mobile communication; mobile robots; motion control; numerical analysis; EMF environments; EMF recognition method; electromagnetic field recognition; hidden Markov models; numerical simulation; proactive motion control algorithm; proactive robot communication connectivity maintenance; radio frequency signal strength measurements; Connectivity maintenance; hidden Markov model; recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

978-1-4673-5050-1

Type

conf

DOI

10.1109/ACSSC.2012.6489034

Filename

6489034