ICDL-EpiRob 2018

DateMonday, 17th of September, 2018
PlaceBuilding 14, room 505, Waseda University, Tokyo, Japan

This workshop will be held during ICDL-EpiRob 2018

Please note the room was changed to building 14, room 505

1 Chome-6 Nishiwaseda, Shinjuku-ku, Tōkyō-to 169-0051    goo.gl/maps/2W4Qr1s3j4n

Aim and Scope

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 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 environments.

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 learning

  • Multisensory robot learning

  • Multimodal sensorimotor learning

  • Affordance learning

  • Prediction learning

Invited Speakers

Jochen Triesch
Frankfurt Institute of Advanced Studies, Germany
Title: Active Efficient Coding
David Ha
Google Brain
Title: Generative World Models

Kathryn Kasmarik
University of New South Wales, Australian Defence Force Academy (UNSW Canberra), Australia
Title: Computational Motivation for Learning, Optimisation and Decision Making


09:50 – 10:10Welcome and introduction
10:10 – 10:50Invited talk: David Ha
Title: Generative World Models
10:50 – 11:10

Coffee break

Inference and Representations
11:10 – 11:30Where do I move my sensors? Emergence of an internal representation from the sensorimotor flow
Valentin Marcel, Sylvain Argentieri and Bruno Gas
11:30 – 11:50Active inference in continual learning
Pablo Lanillos
Sensorimotor Learning
11:50 – 12:10Towards Biological Plausibility of Sensorimotor Learning Models: a Short Review
Silvia Pagliarini, Arthur Leblois, and Xavier Hinaut
12:10 – 12:30A Computational Model For Action Prediction Development
Serkan Bugur, Yukie Nagai, Erhan Oztop, and Emre Ugur
12:30 – 12:50Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning
Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michael Garcia-Ortiz, and David Filliat
12:50 – 14:10

Lunch break

14:10 – 14:50Invited talk. Jochen Triesch
Title: Active Efficient Coding
Intrinsic Motivation and alike
14:50 – 15:10Learning Sequences of Policies by using an Intrinsically Motivated Learner and a Task Hierarchy
Nicolas Duminy, Alexandre Manoury, Sao Mai Nguyen, Cédric Buche, and Dominique Duhaut
15:10 – 15:30Emergent emotion as a regulatory mechanism for a cognitive task implemented on the iCub robot
Murat Kirtay, Lorenzo Vannucci, Egidio Falotico, Cecilia Laschi, and Erhan Oztop
15:30 – 15:50Towards Life Long Learning: Multimodal Learning of MNIST Handwritten Digits
Eli Sheppard, Hagen Lehmann, G. Rajendran, Peter E. McKenna, Oliver Lemon, and Katrin S. Lohan
15:50 – 16:10

Coffee break

16:10 – 16:40Invited talk: Kathryn Kasmarik
Title: Computational Motivation for Learning, Optimisation and Decision Making
16:40 – 17:40Discussion
17:40 – 18:00Conclusions and farewell

Call for Papers

Prospective participants in the workshop are required to submit a contribution as:

  • Short paper (max 4 pages)

Submissions must be in PDF following the standard IEEE conference style. Send your PDF manuscript indicating [ICDL-EPIROB 2018] in the subject to:

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

Contributors to the workshop will be encouraged to submit extended versions of the manuscripts to a special issue on the same name at IEEE Transactions on Cognitive and Developmental Systems (TCDS). Submissions will be peer reviewed consistent with the journal practices. For more information on the Special Issue, click here.

Important Dates

Paper submission deadline: 5th August 2018

Notification of acceptance: 27th August 2018

Camera-ready version: 9th September 2018

Full-day workshop: 17th September 2018


For information about registration for this workshop please refer to the ICDL-EPIROB website. Note that there is the option of “workshop only registration”.


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