[robotics-worldwide] Call for Papers: Spatial Computing Workshop at IEEE SASO 2009

Jake Beal jakebeal at bbn.com
Thu May 21 13:28:31 PDT 2009


We are pleased to announce a workshop on Spatial Computing, to be held  
on September 14th, 2009 at this year's IEEE International Conference  
on Self-Adaptive and Self-Organizing Systems.
We expect this workshop to be of interest to many robotics  
researchers, as prime examples of spatial computers include robotic  
swarms and modular robotics.  The submission deadline is July 10th,  
2009. The Call for Papers is attached below, and more information is  
available at: http://scw09.spatial-computing.org/

Thanks,
-Jake Beal
(on behalf of the organizing committee)

Spatial Computing Workshop 2009

Description

Many self-organizing or self-adaptive systems are “spatial computers”  
– collections of local computational devices distributed through a  
physical space, in which:
* the difficulty of moving information between any two devices is  
strongly dependent on the distance between them, and
* the “functional goals” of the system are generally defined in terms  
of the system's spatial structure.

Systems that can be viewed as spatial computers are abundant, both  
natural and man-made. For example, in wireless sensor networks and  
animal or robot swarms, inter-agent communication network topologies  
are determined by the distance between devices, while the agent  
collectives as a whole solve spatially-defined problems like “analyze  
and react to spatial temperature variance” or “surround and destroy an  
enemy.”

Similarly, in reconfigurable microchip platforms, moving data between  
adjacent logic blocks is much faster than moving it across the chip,  
which in turn favors problems with spatial structure like stream  
processing. In biological embryos, each developing cell's behavior is  
controlled only by its local chemical and physical environment, but  
the eventual structure of the organism is a global property of the  
cellular arrangement. Moreover, a variety of successful established  
techniques for self-organization and self-adaptation arise from  
explicitly spatial metaphors, e.g., self-healing gradients.

On the other hand, not all spatially distributed systems are spatial  
computers. The Internet and peer-to-peer overlay networks may not in  
general best be considered as spatial computers, both because their  
communication graphs have little relation to the Euclidean geometry in  
which the participating devices are embedded, and because most  
applications for them are explicitly defined independent of network  
structure. Spatial computers, in contrast, tend to have more  
structure, with specific constraints and capabilities that can be used  
in the design and analysis of algorithms.

The goal of this workshop is to explicitly identify the idea of  
“spatial computing” as a theme in self-organizing and self-adaptive  
systems, and further to develop the study of spatial computation as a  
subject in its own right. We believe that progress towards identifying  
common principles, techniques, and research directions – and  
consolidating the substantial progress that is already being made –  
will benefit all of the fields in which spatial computing takes place.  
And, as the impact of spatial computing is recognized in many areas,  
we hope to set up frameworks to ensure portability and cross- 
fertilization between solutions in the various domains.

We are soliciting submissions on any aspect of spatial computing.  
Examples of topics of interest include, but are by no means limited to:
* Languages for programming spatial computers and describing spatial  
tasks and patterns
* Methods for compiling global programs to local rules that produce  
the desired global effect
* Characterization of spatial self-organization phenomena as  
algorithmic building blocks
* Characterization of error in spatial computers (e.g., error from  
approximating continuous space with networks of devices)
* Analysis of tradeoffs between system parameters (e.g., communication  
radius vs. device memory consumption)
* Studies of the relationship between time, propagation of information  
through the spatial computer, and computational complexity
* Application of spatial computing principles to novel areas, or  
generalization of area-specific techniques
* Device motion in spatial computing algorithms (e.g. the relationship  
between robot speed and gradient accuracy in multi-robot swarms)

We encourage authors to submit papers in one of two formats: (1)  
Papers that develop “unifying” principles or techniques in spatial  
computing – these papers should be suitable in format and quality for  
a conference track, but avoid incrementalism. (2) Papers that  
demonstrate how a technique or problem from a specific area of  
application can usefully be generalized – these papers should be a  
combination of review paper and position paper, presenting the  
material from one area in a form comprehensible to researchers of  
another area, as well as a coherent technical argument generalizing  
the material to other areas. Although our interests are broad, we  
discourage authors from submitting reviews of particular application  
areas unless the paper explicitly connects the material to the larger  
technical issues of spatial computing.

Format and Submission

Papers should be no longer than 6 pages in standard IEEE two-column  
format. All manuscripts should be submitted in PDF form to scw09 at spatial-computing.org 
. Please direct all questions to scw09 at spatial-computing.org.

Important Dates
* July 10, 2009: Submission deadline
* August 5, 2009: Acceptance notification:
* September 14, 2009: Workshop held at IEEE SASO in San Francisco, CA,  
USA.

Organization
Organizers:
Dr. Jacob Beal (BBN Technologies, USA)
Dr. William Butera (Mitsubishi Electric Research Laboratories, USA)
Dr. Marco Mamei (Universita di Modena e Reggio Emilia, Italy)
Prof. Olivier Michel (Univ. Paris 12, France)

Program Committee:
Dr. Jonathan Bachrach (Makani Power, USA)
Prof. Cristian Borcea (New Jersey Institute of Technology, USA)
Prof. Daniel Coore (University of West Indies, Mona, Jamaica)
Prof. Andre deHon (U Penn, USA)
Prof. Murat Demirbas (SUNY Buffalo, USA)
Prof. Giovanna Di Marzo Serugendo (Univ. London, UK)
Prof. Chris Dwyer (Duke, USA)
Dr. Rene Doursat (Institut des Systemes Complexes, France)
Dr. Seth Gilbert (EPFL, Switzerland)
Prof. Frederic Gruau (University Paris Sud, France)
Prof. David Hales (University of Bologna, Italy)
Prof. Mark Jelasity (Hungarian Academy of Sciences and University of  
Szeged, Hungary)
Prof. Pietro Lio' (University of Cambridge, UK)
Prof. Ulrik Pagh Schultz (University of Southern Denmark, Denmark)
Dr. Antoine Spicher (Univ. Paris 12, France)
Prof. Gerald Jay Sussman (MIT, USA)
Prof. Christof Teuscher (Portland State University, USA)
Prof. Ron Weiss (Princeton, USA)
Dr. Danny Weyns (K.U.Leuven, Belgium)
Dr. Eiko Yoneki (University of Cambridge, UK)
Chih-Han Yu (Harvard, USA)
Prof. Franco Zambonelli (Universita di Modena, Italy)



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