Electromagnetic field recognition for proactive robot communication connectivity maintenance

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.