Mobile robots for learning spatio-temporal interpolation models in sensor networks — The Echo State map approach
Sensor networks have limited capabilities to model complex phenomena occuring between sensing nodes. Mobile robots can be used to close this gap and learn local interpolation models. In this paper, we utilize Echo State Networks in order to learn the calibration and interpolation model between senso…