[robotics-worldwide] [meetings] CFP: Workshop on Knowledge Representation and Planning for Robotics and Autonomous Systems, July 3, 2017, Espoo, Finland

Shiqi Zhang s.zhang9 at csuohio.edu
Tue Mar 21 08:55:38 PDT 2017


Workshop on Knowledge Representation and Planning for Robotics and
Autonomous Systems (KPRAS'2017)
(an LPNMR'17 workshop on July 3, 2017, Espoo, Finland)



https://urldefense.proofpoint.com/v2/url?u=http-3A__eecs.csuohio.edu_-7Eszhang_kpras_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=W40YrVt4yhLr8u_ErOGb8YZlpqc6UjRc3b9BR5uUXYM&s=VElSf0K-3RtCp0kysBChb8uw_BbJdPcdAjJqKlxB_lw&e= 



Overview

Recent years have seen the booming of wide application of knowledge
representation and planning techniques in intelligent robot and
autonomous systems. Mobile robots, autonomous vehicles, intelligent
electricity network and oil well construction are just a few examples of
such applications. Formal representation of the knowledge has been used
in various aspects of such systems as well, from dialog management to
task planning and execution.

This workshop aims at exchanging the ideas of recent achievements,
discussing challenges and opportunities of knowledge representation and
automated planning technique to better serve the next generation of
intelligent robot and autonomous systems, bridging the gap between
theoretical study and practical application, and promoting collaboration
between researchers and practitioners from different communities.


Topics

Topics of interest will be to address the challenges of *robotics and
autonomous systems*, including but not limited to

- Human-robot interaction and collaborations
- Multirobot/multiagent systems (centralized and decentralized)
- Industrial autonomous systems
- Perception, such as vision and natural language processing
- Learning, such as reinforcement learning, transfer learning, and
learning from demonstration
- Mobile systems and mobility, such as mapping, localization,
navigation, and SLAM

via *knowledge representation and automated planning* techniques,
including but not limited to

- Representing and reasoning about commonsense knowledge
- Representation of dynamic systems
- Diagnostic reasoning and explanation
- Nonmonotonic reasoning
- Answer set programming
- Action languages (STRIPS, ADL, PDDL, B, C, C+, etc)


Important Dates

Paper submission: April 3
Notification: May 1
Camera ready: May 22
Workshop: July 3


Invited Speakers (tentative):

    Marcello Balduccini, Drexel University, USA
    Mohan Sridharan, The University of Auckland, New Zealand


Submissions

The workshop welcomes submissions of long papers (up to 13 pages) or
short papers (up to 6 pages). If your work is unfinished but the idea is
very exciting, we strongly encourage you to submit a short paper. The
indicated number of pages includes title page, references and figures.

All submissions will be peer-reviewed and accepted papers will be
electronically hosted on this page. At least one author of each accepted
paper is expected to register for the workshop to present the work.
Submissions must be written in English, present original research, and
be formatted according to Springer’s guidelines and technical instructions.

Paper submission will be electronic (PDF) through the KPRAS easychair
website (to be available). If you have any questions, feel free to
contact the organizers.


Steering Committee

    Xiaoping Chen, University of Science and Technology of China, China
    Esra Erdem, Sabanci University, Turkey
    Maria Fox, Schlumberger Cambridge Research, UK
    Peter Stone, The University of Texas at Austin, USA
    Jeremy Wyatt, University of Birmingham, UK


Organizing Committee

    Fangkai Yang (fyang10 at slb.com), Schlumberger Software Technology,
Schlumberger Ltd. USA
    Shiqi Zhang (s.zhang9 at csuohio.edu), Cleveland State University, USA


Program Committee

    Marcello Balduccini, Drexel University, USA
    Kai Chen, Ninebot Inc, China
    Jianmin Ji, University of Science and Technology of China, China
    Piyush Khandelwal, The University of Texas at Austin, USA
    Matteo Leonetti, University of Leeds, UK
    Orkunt Sabuncu, NOVA LINCS, Portugal
    Mohan Sridharan, The University of Auckland, New Zealand
    Zhiqiang Sui, University of Michigan, USA
    Tran Cao Son, New Mexico State University, USA
    Yuanlin Zhang, Texas Tech University, USA
    Yu Zhang, Arizona State University, USA


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