[robocup-worldwide] [journals] [NEW deadline] CfP: Topical Issue on DEEP LEARNING and NEURAL SYSTEMS in Robotics / PALADYN. Journal of Behavioral Robotics / DE GRUYTER

[Zuk, Justyna]

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PALADYN. Journal of Behavioral Robotics
www.degruyter.com/view/j/pjbr<https://www.degruyter.com/view/j/pjbr>

Peer-reviewed OPEN ACCESS journal, indexed in SCOPUS. Publishing for FREE.

TOPICAL ISSUE on
DEEP LEARNING and NEURAL SYSTEMS in Robotics
www.degruyter.com/page/1695<https://www.degruyter.com/page/1695>

NEW DEADLINE for submissions:  30 MARCH 2019
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GUEST EDITORS
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
Neil Vaughan, Royal Academy of Engineering / University of Chester, UK

DESCRIPTION
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 thematic 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 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.

Please, visit the official webpage of the Topical Issue at www.degruyter.com/page/1695<https://www.degruyter.com/page/1695>
Please find more information about the journal at www.degruyter.com/view/j/pjbr<http://www.degruyter.com/view/j/pjbr>
Publishing process (graphical illustration):  www.degruyter.com/view/supplement/s20814836_Publishing_Process_Ilustration.pdf<https://www.degruyter.com/view/supplement/s20814836_Publishing_Process_Ilustration.pdf>

HOW TO SUBMIT
Before submission authors should carefully read the Instructions for Authors<https://www.degruyter.com/view/supplement/s20814836_Instructions_for_Authors.pdf>: 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/>: 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".

The new deadline for submissions is 30th March 2019, but individual papers will be reviewed and published online on an ongoing basis.

Contributors to the Topical Issue will benefit from:
  + indexation in SCOPUS
  + NO submission and publication FEES
  + fair and constructive peer review provided by experts in the field
  + no space constraints
  + convenient, web-based paper submission and tracking system - Editorial Manager
  + free language assistance for authors from non-English speaking regions
  + fast online publication upon completing the publishing process (continuous publication model)
  + better visibility due to Open Access
  + long-term preservation of the content (articles archived in Portico)
  + extensive post-publication promotion for selected papers

We are looking forward to your submission!
In case of any questions please contact Dr. Stephan K. Chalup (lead GE, Stephan.Chalup at newcastle.edu.au<mailto:Stephan.Chalup at newcastle.edu.au>) or Dr. Justyna Żuk (Managing Editor of Paladyn.JBR, Justyna.Zuk at degruyter.com<mailto:Justyna.Zuk at degruyter.com>).
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