[robotics-worldwide] [News]REMINDER: Approaching DL: 15 November: Call for contributions to Springer Cosmos Series Book on Metrics of sensory motor integration in robots and animals

Fabio Bonsignorio fabio.bonsignorio at uc3m.es
Mon Nov 4 19:16:20 PST 2013


Apologies for multiple postings
----------------------------------------------

Dear all,
we are editing a  book on  Metrics of sensory motor integration in
robots and animals to appear in Springer's COSMOS series,
http://www.springer.com/series/8354.
It will be a survey and reference book on the
topic.
This is a reminder that you are kindly invited to submit a book chapter.
The DEADLINE for submission will be in 10 days from now, on ___November
15th___
As you know Cosmos is the cognitive topic twin book series to the
robotics topic STAR, so it is an excellent venue to publish your work and
ideas.
The deadline for full chapters is November 15th. Acceptance will be
notified to successful contributions by December 15th. Final version
will be due by January 31st.
More details in the  stub of the book below.
Feel free to contact any of us for any question which may arise
We look forward your contributions
All the best

Fabio. Angel, Elena and John

IMPORTANT DATES:

Full chapters (Springer COSMOS format):  ___November 15th___
Acceptance notification:  December 15th.
Final version: January 31st.



Title: Metrics of sensory motor coordination and integration in robots
and animals
Subtitle:
How to measure the success of bio-inspired solutions with respect to
their natural models, and against more ‘artificial’ solutions?

Bio-inspiration, in various forms, is a popular trend in robotics
research. The methodologies adopted in Robotics are sometimes coarser
than those used by natural sciences such as
neurophysiology/neurosciences and biology to quantitatively evaluate
the performance in similar classes of functions. Also for those kinds
of considerations, the interest in experimental methodologies
increased dramatically within the robotics community, both from
researchers, aiming at more grounded and fast research advancement,
and from public funding agencies, according to the idea that good
experimental activities could reduce the gap between research and
industrial applications.
Some projects have been funded by the European Commission and a series
of workshops have been held in the latest years. Indeed, the
definition of proper benchmarking procedures has become a key
requisite of European project funding application.
The aim of this book is to discuss these fundamental issues in the
context of a specific subset of problems: namely, the metrics for
sensory motor coordination in Robotics/AI and Cognitive Science (also
with respect to the role of experiments) in artificial and natural
intelligent/cognitive systems, and the way the same or similar
functions are evaluated in biology, neuroscience/neurophysiology and
psychology.
We also aim to lay some foundations toward a replicable robotics
research publishing thread based on the publication of fully
replicable experiments.
This will reduce the distance from disciplines studying artificial and
natural autonomous systems.
The book has a broad interdisciplinary approach and covers some of the
more relevant issues related to the metrics of sensory motor
integration in robots and animals.
It is a widespread opinion that interdisciplinary research in
biomimetics is beneficial on both biology and engineering sides, as
engineering can provide insightful physical models of the animals and
natural cognitive systems, while biology provide inspiration to
engineering research. In particular the study of the actual modalities
of sensory motor coordination, which are the main focus of this books,
benefit and will benefit in the future from joint research involving
biologists, robotic and cognitive science researchers and
neuroscientists.
In robotics and cognitive sciences there is a clear need of more
replicable research and of objective
measurement methods and benchmarking procedures, the example coming
from other research fields is proving quite productive. A realistic
assessment of the situation forces us to recognize that there are
still gaps in the scientific modeling and understanding of important
cognitive processes in animals and their synthesis in engineering
artifacts. This makes the measuring and comparison of complex
cognitive behaviors more difficult. The contributions in this book
focus on one of the simpler animal and robot behavior: sensory motor
coordination. They are organized in four sections, addressing the main
areas of investigation in this area. In section I and II, methods for
measuring sensory motor coordination in animals, methods for measuring
sensory motor coordination in robots are described. Section III and IV
have a more theoretical nature, as in Section III, quantitative models
and mathematical tools are illustrated in detail, while Section IV
gathers more speculative contributions and position chapters.
The authors are some of the leading researcher in the biomimetics
growing areas of interdisciplinary research. As a whole this
proceeding book, originated by an IROS workshop on the same themes,
provides an insightful panorama of the ongoing work, and hopefully
inspiration for further research.
TOC’s Structure (final TOC will depend on accepted submissions to the
open call and invited chapter submissions)
Introduction (from the editors)
Section I
Engineering methods for measuring sensory motor integration and
coordination in animals
...
Section II
Engineering methods for measuring sensory motor integration and
coordination in robots
…
Section III
Quantitative Models and Mathematical Tools
…
Section IV
Ideas
IV.1 Discussion (by the editors)
...
List of topics for the open call:
* Metrics for sensory motor coordination and visual servoing
effectiveness and efficiency;
* Metrics for shared control effectiveness and efficiency;
* Benchmarking autonomy and robustness to changes in the environment/task;
*Measures of dexterity
* Scalable autonomy measurements;
* Design of Experiments in Robotics/AI;
* Execution of Experiments in Robotics;
* Comparison of experimental methodology in
neurosciences/neurophysiology and in Robotics;
* Comparison of experimental methodology in
neurosciences/neurophysiology and in AI;
* Comparison of experimental methodology in Biology and in Robotics;
* Comparison of experimental methodology in Biology and in AI;
* Success metrics in bioinspired Robotics;
* Experimental scenarios to evaluate performance, demonstrate
generality, and measure robustness in robots and animals;
* Well grounded experimental methods to compare artificial and natural
cognitive systems;
* Performance metrics based on Shannon entropy related measures;
* Performance metrics based on dynamical systems methods;
* Performance modeling of the relationship between a task and the
environment where it is performed
* Relationship between benchmarking and replication of experiments with
robots;
* Reporting experiments in Robotics;
* Epistemological issues;
* Examples of Good Practice;
* Evaluation of Experimental Robotics Work;
* Proposals for Promotion of Good Experimental Work;



-- 
CONFIDENTIAL AND PRE-DECISIONAL INFORMATION

Fabio P. Bonsignorio

IEEE Senior Member

Publication Chair IEEE RAS Humanoids 2014

Ceo
Heron Robots s.r.l.
Via R.Ceccardi 1/18
I-16121 Genova
Italy
www.heronrobots.com

Founding Past Director
euRobotics aisbl

Professor
Banco de Santander Chair of Excellence in Robotics
Universidad Carlos III de Madrid
Edificio Agustín de Betancourt, Despacho 1.3B01
Avda. Universidad, 30
28911 Leganés
Spain


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