[robotics-worldwide] Last call: CfP to the IROS 2013 Workshop on Metrics of Embodied Learning processes in robots and animals

Fabio Bonsignorio fabio.bonsignorio at heronrobots.com
Thu Aug 29 07:59:20 PDT 2013

Apologies for multiple postings

Dear All,

this is a reminder that you are kindly invited to submit to the IROS 2013
Workshop on Metrics of embodied learning processes in robots and
animals on November, 7th 2013

A key feature of biological intelligent systems is their ability to
adapt their behaviors to the changes of an open-ended environment.
These capabilities have so far only partially been mimicked by robot
systems. Learning processes are necessary to adapt to a
stochastically-varying environment and even to manage the robot itself
if the robot has a soft, rather than rigidly defined, structure.
Moreover, in robotics (and in nature) learning algorithms execute
within an embodied agent: how does this affect their performance?
Should we explicitly consider the body morphology ‘inside’ the
learning algorithms?

How should one compare different implementations? How should we
measure the benefits of ‘embodiment’? of soft structure
implementation? Of bioinspiration? How can we compare our systems with
biological examples?

It is worth mentioning, once again, that experimental methods and
methods to quantitatively evaluate the performance in similar classes
of function adopted in Robotics are sometimes coarser than those used
by natural sciences such as neurophysiology/neurosciences and biology.

The aim of this workshop is to discuss the fundamental issues raised
by performance measurement of cognitive and intelligent systems in the
context of a key class of problems: those raised by learning in
embodied agents, artificial and natural.

We think this will contribute to clarify and make progress in the
robot learning domain.

We aim to make another step towards a replicable robotics research
publishing thread based on the publication of fully replicable
experiments, which will reduce the distance from disciplines studying
artificial and natural autonomous systems.

The best contributions will be invited to submit to a refereed edited book.

All the best
Fabio, Angel, Elena and John

Submission info:

Key Dates:

September 3rd, 2013 (23:59 PST): Paper Submission Deadline
September ,10th, 2013: Notification of Acceptance
October, 7th, 2013: Final version

Abstract Format:

Abstract should be submitted as PDF files (from minimum 1  to  maximum
2 pages, plus references)
in IROS regular paper format.

List of topics:

* Metrics of learning processes in robots and animals; *Replication of
learning process experiments in robots and animals; *Metrics of
embodiment; Metrics in Soft Robotics; *Replication of Soft Robotics
experiment; *Metrics of growing processes in robots and animals:
*Replication of growing process experiments in robots; 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; *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; * Proposals for Promotion of
Good Experimental Work; Proposals for benchmark standardization of
learning processes.


Fabio P. Bonsignorio

Heron Robots s.r.l.
Via R.Ceccardi 1/18
I-16121 Genova

Founding Past Director euRobotics aisbl

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

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