[robotics-worldwide] [Meetings] Call for Abstracts: RSS 2014 Workshop on Distributed Control and Estimation for Robotic Vehicle Networks

nra nra6 at cornell.edu
Tue Apr 1 13:49:06 PDT 2014


We are pleased to invite contributions for the 2014 RSS Workshop on
Distributed Control and Estimation for Robotic Vehicle Networks, to be held
at the University of California Berkeley on July 12, 2014.

************ WORKSHOP HOMEPAGE AND REGISTRATION ************
https://sites.google.com/site/rss2014dceworkshop/
<https://sites.google.com/site/rss2014dceworkshop/>  

Other links: www.roboticsconference.org  (RSS website)


************ DESCRIPTION ************
Applications for autonomous multi-vehicle networks have grown significantly
in recent years, and have stimulated research on distributed strategies for
optimal/robust cooperative autonomy in multi-vehicle systems. Ideally,
distributed approaches not only perform as well as centralized methods, but
also lead to better scalability, naturally parallelized computation, and
resilience to communication loss and hardware failures. In practice, it is
usually convenient to assume that distributed control and distributed
estimation problems can be treated separately. While state-of-the-art
techniques for distributed planning (e.g. graph-based trajectory generation,
consensus-/graph-based task allocation) and perception (e.g. multi-robot
SLAM/SAM, Bayesian/consensus sensor fusion for cooperative tracking) can be
combined with good results, the assumed “separation principle” is heuristic
and leaves open many questions: how should off-the-shelf solutions for
different parts of the same problem be jointly selected or modified to work
best together, and what guarantees (if any) are there for optimal/robust
behavior? Alternative integrated approaches have also emerged for
multi-vehicle systems (e.g. distributed optimization, model predictive
control, reinforcement learning), which formally capture and exploit subtle
yet important dynamic linkages between the control and estimation problems.
However, these approaches raise their own questions: are the
assumptions/approximations required for analytical and computational
tractability reasonable for general applications, and how can
state-of-the-art planning/perception methods for individual mobile robots be
leveraged?

This workshop will bring together control/planning and estimation/perception
specialists from the robotics and controls communities who are interested in
autonomous multi-vehicle networks to: (i) discuss these and other related
research questions; (ii) promote new ideas for unifying distributed control
and estimation, while improving awareness of state-of-the-art techniques;
and (iii) foster interactions for developing theoretical ideas and practical
applications.

In addition to attending invited talks by top experts in the field and
interacting with them via Q&A panel discussions, workshop participants will
have the opportunity to submit extended abstracts for select presentation at
the workshop poster spotlight talks and interactive poster session
(following single-blind peer review). Successful poster abstract submissions
will also be invited to submit their work to a future special issue of IEEE
Control Systems Magazine (to be arranged by the workshop organizers).Please
check the workshop website for workshop schedule and format details.
 

************ CONFIRMED INVITED SPEAKERS AND PROPOSED TOPICS ************

-Jonathan How, MIT: Topic TBD

-Gaurav Sukhatme, University of Southern California: "Exploring the Ocean
with Robots: Is Communication the Challenge?"

-Solmaz Kia, University of California San Diego: Topic TBD

-Stergios Roumeliotis, University of Minnesota: "Distributed 3D Localization
and Mapping Using Mobile Devices"

-Jay Farrell, University of California Riverside: "Distributed Camera
Control for Opportunistic Visual Sensing"

-Silvia Ferrari, Duke University: "Distributed Optimal Control for Target
Tracking"

-Mark Campbell, Cornell University: “Distributed Bayesian Estimation over
Communication Networks”

************ SUBMISSION INSTRUCTIONS ************
We invite all interested participants to submit extended 2-4 page abstracts
describing new/ongoing work. Submissions should be in .pdf format using the
RSS paper template (see links for LaTeX and Word templates below):
 
*The best submissions will be selected for poster presentation during the
workshop following a single-blind review process (so please include all
author names and affiliations). Final instructions for poster presentations
and spotlight talks will be posted on the workshop website after decision
notifications have been made.

*Successful submissions will also be invited to submit their work to a
future special issue of IEEE Control Systems Magazine (to be arranged by the
workshop organizers). 

*See website for possible topics on interest

Please e-mail .pdf file of 2-4 page extended poster abstracts to
rssdceworkshop2014 at gmail.com with subject line “RSS DCE Workshop
Submission”.

-LaTeX template: http://roboticsconference.org/paper-template-latex.tar.gz

-Word template: http://roboticsconference.org/paper-template-word.zip

For any questions or clarifications, please contact the organizing
committee. 


************ IMPORTANT DATES ************

-April 1, 2014: submission period open for extended abstracts 

-May 15, 2014: submission deadline

-June 1, 2014: decision notification

-June 15, 2014: final materials due 

-July 12, 2014: workshop at 2014 RSS Conference, UC Berkeley

Final workshop schedule will be posted to: 
https://sites.google.com/site/rss2014dceworkshop/workshop-schedule
<https://sites.google.com/site/rss2014dceworkshop/workshop-schedule>  


************ ORGANIZING COMMITTEE************

-Nisar Ahmed, Department of Aerospace Engineering Sciences, University of
Colorado Boulder (nisar.ahmed at colorado.edu) 

-Sonia Martinez, Department of Mechanical and Aerospace Engineering,
University of California San Diego (soniamd at ucsd.edu)

-Jorge Cortes, Department of Mechanical and Aerospace Engineering,
University of California San Diego (cortes at ucsd.edu)



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