[robotics-worldwide] [journals] Call for papers: IEEE RA-L + IROS’18 Special Issue on “AI for Long-term Autonomy”

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[robotics-worldwide] [journals] Call for papers: IEEE RA-L + IROS’18 Special Issue on “AI for Long-term Autonomy”

Tom Duckett
Dear Colleagues,

It is our pleasure to invite you to submit your research papers to the IEEE Robotics and Automation Letters (IEEE RA-L) Special Issue on "AI for Long-term Autonomy”.

All accepted papers of this Special Issue will be presented at the forthcoming 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain.

Please visit the official webpage of the Special Issue at:
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ieee-2Dras.org_publications_ra-2Dl_special-2Dissues_ai-2Dfor-2Dlong-2Dterm-2Dautonomy&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=3dbDOXNrEs5M5AWNWCrtLrHOHObievE9cwZ9lrBLf8A&s=QG_m34BNELgOU8MJdaPFcrcFc4BhzFXnHXCCUSIzeek&e=

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Important dates:

1. Special Issue Call Publication: November 8, 2017
2. Special Issue Submission Opens: February 17,​ ​2018
3. Special Issue Submission Closes: February​ ​24,​ ​2018 (same as RA-L/IROS)
4. First Decision Communicated to Authors: ​May​ ​21,​ ​2018
5. Final Decision Communicated to Authors: July 25,​ ​2018
6. Accepted RAL Papers appear on Xplore: August 23, ​2018

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Overview:

Autonomous systems have a long history in the fields of Artificial Intelligence (AI) and Robotics. However, only through recent advances in technology has it been possible to create autonomous systems capable of operating in long-term, real-world scenarios. Examples include autonomous robots that operate outdoors on land, air, water, and space, and indoors in offices, care homes, and factories. Designing, developing, and maintaining intelligent autonomous systems that operate in real-world environments over long periods of time, i.e. weeks, months, or years, poses many challenges. The proposed Special Issue will focus on such challenges and on ways to overcome them using methods from AI.
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Motivation:

The Special Issue is motivated by the success of the Workshop on “AI for Long-Term Autonomy”, organized by the Guest Editors at the ICRA’16 conference on 16 May 2016 (https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_site_icra2016ailta_&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=3dbDOXNrEs5M5AWNWCrtLrHOHObievE9cwZ9lrBLf8A&s=FOfcwJqOwfGxU9yBcA9XExXI7A1MK6bHMfDyua1WbC0&e=). The quality of the speakers and number of attendees (ca. 200) were very encouraging. In the absence of published proceedings of the Workshop, the important contributions presented there could be missed by a wider public. The Special Issue encourages contributions by other attendees of the workshop and the wider scientific community working on related issues in AI for long-running robotic systems.

The workshop was endorsed by the IEEE Technical Committee on Cognitive Robotics.

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Topics of interest include, but are not limited to:

* Representations for long-term, large-scale data
* Reasoning about environmental change
* Long-term mission planning and exploration
* Perception and state estimation in dynamic environments
* Lifelong learning and adaptation
* Experience-based decision making
* Verification of long-term autonomous systems
* Field trials of long-running robotic systems in diverse application domains

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Guest Editors:

* Tom Duckett, University of Lincoln, UK
* Lars Kunze, University of Oxford, UK
* Marc Hanheide, University of Lincoln, UK
* Gabe Sibley, University of Colorado, US
* Nick Hawes, University of Oxford, UK

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--
Professor Tom Duckett
School of Computer Science
University of Lincoln
Brayford Pool
Lincoln
LN6 7TS
Phone: +44 1522 837113
Fax: +44 1522 886974



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