[robotics-worldwide] [meetings]: CFP: MFI 2015 Workshop on Large-scale Bayesian Data Fusion and Consensus [abstracts due 8/22]

Nisar Ahmed Nisar.Ahmed at colorado.edu
Thu Jul 23 11:38:43 PDT 2015

We are soliciting abstracts for the upcoming full-day workshop on Large-scale
Bayesian Data Fusion and Consensus, to be held during the IEEE International
Conference on Multisensor Fusion and Integration for Intelligent Systems in
San Diego, CA from September 14-16, 2015. 

Workshop website: https://sites.google.com/a/mst.edu/mfi-2015-workshop/

Intelligent sensor networks and dependable dynamic distributed information
processing systems have drawn considerable interest for applications such as
environmental monitoring, surveillance, search and rescue, and scientific
exploration. To operate autonomously in the face of real world
uncertainties, individual sensor platforms in such networks typically rely
on perception and planning algorithms that combine local and network-wide
reasoning.  As computing power and hardware continue to improve, demand will
also grow for these systems to process more diverse kinds of information for
increasingly complex dynamical processes and to communicate within larger
networks at very high rates for real-time/online decision-making. 

This workshop will explore theoretical connections and novel large-scale
applications of two data fusion frameworks popular in the robotics and
controls communities for meeting these challenges: Bayesian distributed data
fusion (DDF) and network-based consensus. Bayesian DDF is mathematically
equivalent to an idealized centralized Bayesian data fusion strategy, but is
far more computationally efficient, scalable, and robust to network node
failures through the use of recursive peer-to-peer message passing of local
statistical beliefs. The network-based consensus framework provides another
formal framework for conservatively combining local state estimation
information in networks via iterated decentralized averaging, and can
provide attractive convergence and stability guarantees for closed-loop
multi-agent control and coordination. Recent developments in the consensus
literature suggest potentially deeper connections to Bayesian DDF that have
not yet been explored. Such connections could provide valuable insight for
developing robust tightly integrated decentralized decision-making and
information processing algorithms for dependable networks of intelligent
heterogeneous sensing agents in large-scale problem spaces (as characterized
by high data volume, high-dimensional processes, and/or large numbers of
sensors or agents).

We invite participants to contribute abstracts for short talks describing
new/ongoing work in any of the following topic areas (which will be the
focus of the workshop sessions):
1. Fundamental connections between DDF and consensus techniques
2. Fusion in high-dimensional and functional spaces

Abstract Submission: August 22, 2015 (submit to
mfi2015consensusworkshop at gmail.com) 
Author/Decision Notification: August 29, 2015
Workshop Date: September 14, 2015 (at MFI 2015, San Diego State University,
San Diego, CA)

We invite participants to submit extended 2-3 page abstracts describing
new/ongoing work. Submissions should be in .pdf format using the standard
IEEE conference paper template (LaTeX or Word). The best submissions will be
selected for presentation during the workshop via single-blind review (so
please include all author names and affiliations). Selected submissions will
also be invited to submit their work to a future special book collection (to
be arranged by the workshop organizers). Submissions should be sent to
mfi2015consensusworkshop at gmail.com by August 22, 2015.


Simon Julier, University College of London 

Ronald Mahler, Lockheed Martin (tentative)

Invited Industry and Government Expert Panelists: Dr. Frederica Darema
(AFOSR), Paul Thomas (UK MOD STL), Anthony Barfoot (UK MOD STL), Michael
Fiegert (Siemens AG)

Nisar Ahmed, University of Colorado Boulder
David Casbeer, Air Force Research Laboratory
Daniel Clarke, Cranfield University
William Whitacre, Draper Laboratory
Tansel Yucelen, Missouri University of Science and Technology

For more information and updates/annoucements, please visit the symposium

We look forward to receiving your contributions and seeing you in San Diego!

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