Connectionists: CfP: Robust Artificial Intelligence for Neurorobotics (RAI-NR) Workshop

[Subramanian Ramamoorthy]

We invite contributions to the workshop on Robust Artificial  
Intelligence for Neurorobotics (RAI-NR), 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 unpulished 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


Sponsorship
===========
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.

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.