Jump to ContentJump to Main Navigation
Navigate here

Topical Issue on Deep Learning and Neural Systems in Robotics

                 ◄ Back to journal


Stephan K. Chalup, University of Newcastle, Australia
Alan D. Blair
, University of New South Wales, Australia
Aydan M. Erkmen
, Middle East Technical University, Ankara, Turkey
Alessandro Di Nuovo
, Sheffield Hallam University, UK


Deep Learning can equip robots with a new level of skill by utilizing insights from neuroscience.

These new developments have impact on various types of robots, from companion robots to driver assistance in semi-autonomous vehicles. Deep Learning can enable unprecedented quality of results in tasks such as object detection, localization, communication and behavior learning.

Training deep neural networks typically requires GPU workstations or high-performance computing servers. It may require huge amounts of data or innovative training schemes. These issues indicate only some of the special challenges when utilizing deep networks in robotics.

Within this context the topics of this special issue include, but are not limited to:

  • Applications of deep learning
  • Software and hardware systems
  • Data acquisition for deep learning
  • Neural information processing systems
  • Deep learning training schemes and paradigms
  • GPU computing for deep learning
  • Software engineering for deep learning
  • Neural networks on low powered devices
  • Human robot interaction and communication
  • Cognitive, developmental and evolutionary robotics

Authors are requested to submit their full revised version of papers to the Topical Issue complying the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process. 


Before submission authors should carefully read the Instructions for Authors (https://www.degruyter.com/view/supplement/s20814836_Instructions_for_Authors.pdf).
All submissions to the Topical Issue must be made electronically via online submission system Editorial Manager (http://www.editorialmanager.com/paladyn/).
All manuscripts will undergo the standard peer-review process (single blind, at least two independent reviewers). When entering your submission via online submission system please choose the option “TI on Deep Learning and Neural Systems in Robotics”.

Submissions for the Topical Issue are now open.
The deadlines for the submission are as follows:

  • 15 May 2018 (publication in 2018)
  • 15 November 2018 (publication in 2019)

Individual papers will be reviewed and published online on an ongoing basis.

Contributors to the Topical Issue will benefit from:

  • Fair and constructive peer review provided by experts in the field
  • No space constraints
  • NO submission and publication FEES
  • Convenient, web-based paper submission and tracking system – Editorial Manager
  • Free language assistance for authors from non-English speaking regions
  • Fast online publication of articles
  • Open Access to your article for all interested readers
  • Indexation in SCOPUS

We are looking forward to your submission.
If you have any question, please contact us at Stephan.Chalup@newcastle.edu.au or  Justyna.Zuk@degruyteropen.com.