[CogSci] CfP: Robust Artificial Intelligence for Neurorobotics (RAI-NR) Workshop

[Simon Smith]

We invite contributions to the workshop on Robust Artificial Intelligence
for Neurorobotics, to be held in Edinburgh, UK, between 26-28 August 2019.


Aim and scope
===========
This meeting aims at bringing together researchers from neural computation,
machine learning and robotics, to explore key issues that must be addressed
along the path to more flexible and capable robots. These issues include
reliability, safety and resource efficiency. So, we will have debate and
discussion on the question of how emerging neural network and other
neuromorphic technologies could address these requirements in realistic
applications. Robotics brings stringent constraints on size, weight and
power constraints, which challenges the developers of these technologies in
new ways. Equally, the fact that learning and adaptation might happen on a
real physical platform implies a significantly greater emphasis on ensuring
safety and rendering automated decisions verifiable and explainable.

We invite contributions addressing the following themes, and allied topics:

- Robotics and Robot Learning: How are neural network based methods and
neuromorphic design principles driving advances in robotics?
- Systems for AI: How are new advances in neurally inspired computing and
electronic sensing hardware enabling these advances?
- Safety, verification and explainability: How are we developing the new
techniques required to ensure the safety of learning, perception and
control in real world settings?
- Neuroscience of perception and action: How do perspectives on how
animals/humans solve problems help guide advances in robotics?


Invited speakers
=============
Prof. Dr. Wolfgang Maass, Institut fuer Grundlagen der
 Informationsverarbeitung, Technische Universitaet Graz, Austria
Prof. Chris Eliasmith, Centre for Theoretical Neuroscience, University  of
Waterloo, Canada
Dr.ir. Johan Kwisthout, Donders Centre for Cognition, Nijmegen, The
Netherlands,
Dr. Rosalyn J. Moran, Institute of Psychiatry, Psychology and
 Neuroscience, King’s College London, UK
Prof. Steve Furber, School of Computer Science, The University of
 Manchester, UK
Prof. Giacomo Indiveri, Institute of Neuroinformatics, University of
 Zurich and ETH Zurich, Switzerland
Dr. Ashish Kapoor, Microsoft Research, Redmond, USA
Prof. Martin Vechev, Department of Computer Science, ETHZ Zurich,
Switzerland
Dr. Yulia Sandamirskaya, Institute of Neuroinformatics, UZH / ETH  Zurich,
Switzerland
Dr. Janos Rohaly, GelSight, Inc., USA


Contribution Tracks
=============
We invite contributions that will fall under one of the following two
categories, both of which will be considered for presentation at the
workshop.
(1) Original contributions: Previously unpublished and novel work on the
above topics. These will be papers of up to 6 pages formatted following
guidelines at https://blogs.ed.ac.uk/rai-nr/author-information/, which will
go through a quick round of peer review by the program committee.
Subsequently, after the workshop, the authors of these contributions will
be invited to contribute to a Research Topics special issue in the journal
Frontiers in Neurorobotics.
(2) Previously published contributions: Authors who wish to present work
that has been previously published in peer reviewed venues are invited to
submit a copy of that publication for consideration by the RAI-NR Workshop
Program Committee.


Key Dates and Website
=============
https://blogs.ed.ac.uk/rai-nr/
Extended abstract submission: 21 June 2019
Workshop registration: 29 July 2019
Confirmation of attendance: 12 August 2019
Workshop: 26-28 August 2019


Program Committee Chairs
=========================
Dr. Joseph Hays – Naval Research Laboratory, USA
Dr. Subramanian Ramamoorthy – The University of Edinburgh, UK
Dr. Christian Tetzlaff - Bernstein Center for Computational Neuroscience,
Germany


Sponsors
=======
This workshop is funded by a grant from the US Office of Naval Research
through their Global office in London (ONR-G), and also supported by an
Alan Turing Institute Fellowship and Sponsored Project on Safety-critical
Artificial Intelligence.


Best regards,
Simón C. Smith
Institute of Perception, Action and Behaviour
The University of Edinburgh
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