Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Multi-agent map-building: Kalman Filtering meets Machine Learning

Back
Abstract:
The proliferation of large scale smart multi-agent systems, also known as Internet-of-Things, Networked Control Systems, Wireless sensor and actuator networks, Cyber-physical Systems, etc., are providing us with a wealth of data with unprecedented time-space resolution which can trigger the next technological revolution. However, this trend is also posing a formidable challenge, often referred as Data Tsunami, which requires the analysis of a large scale correlated time-series. In this talk, I will address the problem of estimating a map based on noisy measurements collected by a large number of sensors in the presence of unreliable communication. In particular I will explore the pros and cons of parametric and non-parametric estimation approaches and I will propose some strategies that aim to merge ideas from control theory such as Gauss-Markov estimators and Kalman Filtering, and from Machine Learning such as kernel-based regression.

Type of Seminar:
Control Seminar Series
Speaker:
Prof. Luca Schenato
University of Padova
Date/Time:
Oct 24, 2016   17:15
Location:

ETZ E 8
Contact Person:

Sabrina Baumann
File Download:

Request a copy of this publication.
Biographical Sketch:
Luca Schenato received the Dr. Eng. degree in electrical engineering from the University of Padova in 1999 and the Ph.D. degree in Electrical Engineering and Computer Sciences from the UC Berkeley, in 2003. He held a post-doctoral position in 2004 and a Visiting Professor position in 2013-2014 at U.C. Berkeley. Currently he is Associate Professor at the Information Engineering Department at the University of Padova. His interests include networked control systems, multi-agent systems, cyber-physical systems, smart grids and cooperative robotics. Luca Schenato has been awarded the 2004 Researchers Mobility Fellowship by the Italian Ministry of Education, University and Research (MIUR), the 2004 Marie Curie International Reintegration Grant, the 2006 Eli Jury Award in U.C. Berkeley, and the EUCA European Control Award in 2014. He served as Associate Editor for IEEE Trans. on Automatic Control (2010 to 2014) and IEEE Trans. on Control of Network Systems (2016-current), and he is Senior Member of IEEE. URL: http://automatica.dei.unipd.it/people/schenato.html