[robotics-worldwide] [journals] Call for Papers - ICAE Journal: Special Issue on "Enabling Robot Autonomy" - Extended Deadline - April 1, 2017

Schlenoff, Craig I. (Fed) craig.schlenoff at nist.gov
Wed Mar 1 05:46:56 PST 2017

Due to overwhelming requests, we have extended the deadline to April 1, 2017.


Special Issue of the Integrated Computer-Aided Engineering Journal (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.iospress.nl_journal_integrated-2Dcomputer-2Daided-2Dengineering_&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=VEK7W-mVMik3q-y2JNQnEmMvTXUTHEpKXLNKSHDZi3g&s=3OGweh0QYfFc2-oEU-4yXwZUZxX8dBWaYMoo0OqdZbg&e= )
on "Enabling Robot Autonomy"

Guest Editors:
Craig Schlenoff (National Institute of Standards and Technology), craig.schlenoff at nist.gov<mailto:craig.schlenoff at nist.gov>
Stephen Balakirsky (Georgia Institute of Technology), stephen.balakirsky at gtri.gatech.edu<mailto:stephen.balakirsky at gtri.gatech.edu>
Henrik Christensen (University of California, San Diego), hichristensen at ucsd.edu<mailto:hichristensen at ucsd.edu>


Journal Impact Factor (Journal Citation Reports(r)): 4.981
Ranking in category Engineering, Multidisciplinary: 1 of 85.
Ranking in category Computer Science, Interdisciplinary Applications: 2 of 104
Ranking in the category Computer Science, Artificial Intelligence: 5 of 130


Topics of Interest

Today's state-of-the-art robots are capable of sub-millimeter movement accuracy when performing highly repeatable tasks. They perform best in highly structured environments, where objects are in well-known, predictable locations. However, robots are not known for "thinking on the fly" in order to cope with unexpected events or changing situations. They are best when they can be trained to perform a specific activity, which requires a specific set of motions, and that activity can be performed in the exact same way many hundreds or thousands of times.  Not surprisingly, robots have been adopted much more in high volume, repeatable operations such as painting and welding rather than in smaller job shop type operations where only a handful of similar products are being made at a given time. Another way to describe this is that robots are not considered agile. Robot systems of the future need to perform their duties at least as well as human counterparts, be quickly re-tasked to other operations, and cope with a wide variety of unexpected environmental and operational changes in order for them to be useful to small manufacturers and to also allow larger manufacturers to offer more automated customization of high volume parts. Many computer-aided engineering approaches are beginning to show promise in helping robots become more agile, including techniques such as machine learning, cognitive modeling, artificial intelligence, knowledge representation and ontologies, real-time intelligent control, and dynamic and real-time planning. This special issue focuses on both theoretical and practical contributions of applying these techniques to improving the agility of robotic systems from an engineering and computer science perspective.

Submission Guidelines

ICAE is a scholarly research journal with a primary focus on novel computational modeling. Papers describing software development projects are not suitable. Authors are invited to contact the Guest Editors and indicate their intent to submit a paper for possible publication in the special issue as soon as possible. All papers will be peer-reviewed for originality by at least 3 referees on the journal's standard review form.  Please email the following 5 items in the format requested to the Editor-in-Chief, Prof. H. Adeli (The Ohio State University; Email: Adeli.1 at osu.edu<mailto:Adeli.1 at osu.edu>) with cc to the Guest Editor Dr. Craig Schlenoff (National Institute of Standards and Technology (NIST), 100 Bureau Drive, Stop 8230 Gaithersburg, MD 20899; Fax: +01-301-990-9688; E-mail: craig.schlenoff at nist.gov<mailto:craig.schlenoff at nist.gov>) by ***April 1, 2017***:
1) A statement that this manuscript is your "original unpublished work and the manuscript or any variation of it has not been submitted to another publication previously." This journal does not consider papers rejected by other journals. You may request an exception to this policy but must submit ALL the correspondence and reviews received from the journal that rejected your paper.
2) The pdf file of your paper prepared in double-column according to the attached journal template. This will be used to determine the length of your paper as journal pages.
3) Editable Word or Latex files of your paper prepared in double-column according to the journal template.
4) The names, affiliations, and full contact information including email addresses of six to ten leading researchers as determined by publication of important journal articles in the subject area of the paper as a Word file. They should not be your advisor, advisee, research sponsor, or research collaborator. They can include senior researchers cited in your paper. Please disclose potential conflicts of interest if any.
5) Who are, in your opinion, the top 10 researchers in the world in the subject of the paper as determined by publication of high-impact journal articles in the subject area of the paper (you can search Google Scholar Citations for that)? Please provide their names, affiliations, and email addresses. Please send it as a Word file. This will indicate whether the authors are familiar with the latest development in the field and their paper extends the state-of-the-art. This list can include those the author's advisor, advisee, research sponsor, or research collaborator.

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