Connectionists: Deadline extension: IROS 2018 Workshop Crossmodal Learning for Intelligent Robotics

[Pablo Barros]

The submission deadline for contributions to our workshop has been
extended to

*29.08.18*

See you in Madrid!

Pablo

CALL FOR PAPERS for the international workshop:

* Crossmodal Learning for Intelligent Robotics * in conjunction with
IEEE/RSJ IROS 2018

* Madrid, Spain - Friday 5 October 2018 *

* Website:
http://www.informatik.uni-hamburg.de/wtm/WorkshopCLIR18/index.php *

I. Aim and Scope

The ability to efficiently process crossmodal information is a key
feature of the human
brain that provides a robust perceptual experience and behavioural
responses.
Consequently, the processing and integration of multisensory
information streams such as
vision, audio, haptics and proprioception play a crucial role in the
development of
autonomous agents and cognitive robots, yielding an efficient
interaction with the
environment also under conditions of sensory uncertainty.

Multisensory representations have been shown to improve performance in
the research areas
of human-robot interaction and sensory-driven motor behaviour. The
perception,
integration, and segregation of multisensory cues improve the
capability to physically
interact with objects and persons with higher levels of autonomy.
However, the
multisensory input must be represented and integrated in an
appropriate way so that they
result in a reliable perceptual experience aimed to trigger adequate
behavioural
responses. The interplay of multisensory representations can be used to
solve
stimulus-driven conflicts for executive control. Embodied agents can
develop complex
sensorimotor behaviour through the interaction with a crossmodal
environment, leading to
the development and evaluation of scenarios that better reflect the
challenges faced by
operating robots in the real world.

This half-day workshop focuses on presenting and discussing new
findings, theories,
systems, and trends in crossmodal learning applied to neurocognitive
robotics. The
workshop will feature a list of invited speakers with outstanding
expertise in crossmodal
learning.
II. Target Audience

This workshop is open to doctoral students and senior researchers
working in computer and cognitive science, psychology, neuroscience
and related areas with the focus on crossmodal learning.

III. Confirmed Speakers

    1.   * Yulia Sandamirskaya *
            Institute of Neuroinformatics (INI), University and ETH Zurich
    2.   * Angelo Cangelosi *
            Plymouth University and University of Manchester, UK
    3.   * Stefan Wermter *
            Hamburg University, Germany

IV. Submission

     1. Topics of interest:

    - New methods and applications for crossmodal processing
      (e.g., integrating vision, audio, haptics, proprioception)
    - Machine learning and neural networks for multisensory robot
perception
    - Computational models of crossmodal attention and perception
    - Bio-inspired approaches for crossmodal learning
    - Crossmodal conflict resolution and executive control
    - Sensorimotor learning for autonomous agents and robots
    - Crossmodal learning for embodied and cognitive robots

    2. For paper submission, use the following IEEE template:
    <http://ras.papercept.net/conferences/support/support.php>*

    3. Submitted papers should be limited to *2 pages (extended
abstract)* or *4 pages
(short paper)*.

    4. Send your pdf file to barros at informatik.uni-hamburg.de AND
jirak at informatik.uni-hamburg.de

Selected contributions will be presented during the workshop as
spotlight talks and in a
poster session.

Contributors to the workshop will be invited to submit extended
versions of the
manuscripts to a special issue (to be arranged).  Submissions will be
peer reviewed
consistent with the journal practices.

V. Important Dates

    * Paper submission deadline: August 15, 2018
    * Notification of acceptance: September 5, 2018
    * Camera-ready version: September 15, 2018
    * Workshop: Friday 5 October 2018

VI. Organizers

    * German I. Parisi * Hamburg University, Germany
    * Pablo Barros * Hamburg University, Germany
    * Doreen Jirak * Hamburg University, Germany
    * Jun Tani * Okinawa Institute of Science and Technology, Japan
    * Yoonsuck Choe * Samsung Research & Texas A&M University, TX, USA

-- 
Dr.rer.nat. Pablo Barros
Postdoctoral Research Associate - Crossmodal Learning Project (CML)
Knowledge Technology
Department of Informatics
University of Hamburg
Vogt-Koelln-Str. 30
22527 Hamburg, Germany
Phone: +49 40 42883 2535
Fax: +49 40 42883 2515
barros at informatik.uni-hamburg.de
https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html
https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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