[Comp-neuro] [meetings] Call for Participation : Workshop on Continual Unsupervised Sensorimotor Learning - Tokyo - September 17th

Nguyen, Sao Mai nguyensmai at gmail.com
Mon Sep 3 23:16:33 CEST 2018

Call for Participation

Workshop on Continual Unsupervised Sensorimotor Learning at IEEE
ICDL-Epirob 2018 - Tokyo - September 17th

Website : http://conferences.au.dk/icdl-epirob-2018-workshop/

Invited Speakers


   Jochen Triesch, Frankfurt Institute of Advanced Studies, Germany

   David Ha, Google Brain
   - Lorenzo Jamone, Queen Mary University of London, UK


As the algorithms for learning single tasks in restricted environments are
improving, new challenges have gained relevance. They include multi-task
learning, multimodal sensorimotor learning in open worlds and lifelong
adaptation to injury, growth and ageing.

In this workshop we will discuss the developmental processes involved in
the emergence of representations of action and perception in humans and
artificial agents in continual learning. These processes include
action-perception cycle, active perception, continual sensory-motor learning,
environmental-driven scaffolding, and intrinsic motivation.

The discussion will be strongly motivated by behavioural and neural data.
We hope to provide a discussion friendly environment to connect with
research with similar interest regardless of their area of expertise which
could include robotics, computer science, psychology, neuroscience, etc. We
would also like to devise a roadmap or strategies to develop mathematical
and computational models to improve robot performance and/or to attempt to
unveil the underlying mechanisms that lead to continual adaptation to
changing environment or embodiment and continual learning in open-ended

The primary list of topics covers the following (but not limited to):


   Emergence of representations via continual interaction

   Continual sensory-motor learning

   Action-perception cycle

   Active perception

   Environmental-driven scaffolding

   Intrinsic motivation

   Neural substrates, neural circuits and neural plasticity

   Human and animal behaviour experiments and models

   Reinforcement learning and deep reinforcement learning for life-long

   Multisensory robot learning

   Multimodal sensorimotor learning

   Affordance learning

   Prediction learning



   Nicolás Navarro-Guerrero, Aarhus University, Aarhus, Denmark

   Sao Mai Nguyen, IMT Atlantique, France

   Erhan Öztop, Özyeğin University, Turkey

   Junpei Zhong, National Institute of Advanced Industrial Science and
   Technology (AIST), Japan

Nguyen Sao Mai
nguyensmai at gmail.com
Researcher in Cognitive Developmental Robotics
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.tnb.ua.ac.be/pipermail/comp-neuro/attachments/20180903/aafe38db/attachment-0001.html>

More information about the Comp-neuro mailing list