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          -----------------------------------<br>
                 MORSE'17 - 4th Workshop on Model-Driven Robot Software
          Engineering<br>
                                <a class="moz-txt-link-freetext" href="http://st.inf.tu-dresden.de/MORSE17">http://st.inf.tu-dresden.de/MORSE17</a><br>
                                -----------------------------------<br>
                                                  <br>
                               MORSE'17 is co-located with STAF 2017.<br>
                              Conference Date: July 17 -  July 21 2017<br>
                                    Workshop Date: July 17, 2017<br>
                                     Location: Marburg, Germany<br>
                            Website: <a class="moz-txt-link-freetext" href="http://st.inf.tu-dresden.de/MORSE17">http://st.inf.tu-dresden.de/MORSE17</a><br>
          <br>
          -----------------------------------<br>
          CALL FOR PAPERS<br>
          -----------------------------------<br>
          Robots are an indispensable  part  of  modern  production 
          facilities.   In  the<br>
          future, robots will also become more common in daily life.
          Currently,   however,<br>
          there is a lack of standardization  w. r. t.  
          hardware/software  platforms  for<br>
          robots, leading to a vast landscape of isolated,  
          incompatible,   task-specific<br>
          and, thus, non-reusable solutions.  Consequently,   there  is 
          a  need  for  new<br>
          engineering methodologies for  the  design,   implementation 
          and  execution  of<br>
          software for robotic platforms.<br>
          <br>
          Model-Driven Robot Software Engineering (MORSE) is a 
          promising  research  field<br>
          combining Software Engineering and Robotics. Its  objectives 
          are  to  introduce<br>
          model-driven development methodologies for the development 
          of  robot  software.<br>
          At the same time, formal methods  should  be  transferred  to 
          robotics  because<br>
          "robot apps" must be certified and verified. MORSE attempts
          to  fill  this  gap.<br>
          <br>
          Submissions  are  encouraged,   but  not  limited,   in  the 
          following  topics:<br>
          <br>
          <br>
          Robotic Platforms: MDA, Models, Processes and Tools    <br>
          - Hardware/Software Abstractions | Architectures |
          Metamodels    <br>
          - Code- and Application-Reuse | Managed Redundancy |
          Deployment    <br>
          - Variability in Robotic Systems | Self-Adaptive Systems |
          Evolution    <br>
          - Programming Languages | Paradigms | Models | DSLs<br>
          <br>
          Models for and Modelling in Robotics   <br>
          - Sensors and Actuators | Sensor Integration    <br>
          - Computer Vision and Image Processing | Recognition and
          Tracking    <br>
          - Knowledge Representation and Reasoning | Context Models    <br>
          - Ontologies and Conceptual Modeling    <br>
          - Localization, Mapping and Navigation    <br>
          - Autonomous Robots | Robot Learning and Artificial
          Intelligence<br>
          <br>
          Robot Ecosystems and Total Cost of Ownership    <br>
          - Product-Line Development  | Robot Apps<br>
          - End-User Customization | Multi-Tenancy<br>
          <br>
          Model-Driven Quality Assurance of Robotic Systems    <br>
          - Verification | Validation | Testing | Simulation | Debugging
          | Profiling    <br>
          - Handling Emergent Behavior and Uncertainty | Software
          Qualities<br>
          <br>
          Multi-Robot Systems    <br>
          - Cooperative Perception | Planning | Task Allocation |
          Coordination    <br>
          - Robot Swarms | Multi-Agent Robotic Systems<br>
          <br>
          -----------------------------------<br>
          IMPORTANT DATES<br>
          -----------------------------------<br>
          Abstract Submission Deadline: April 14, 2017<br>
          Submission Deadline: April 21, 2017<br>
          Notification: May 25, 2017<br>
          Camera Ready: July 1, 2017<br>
          Workshop: July 17, 2016<br>
          <br>
          -----------------------------------<br>
          SUBMISSION INFORMATION<br>
          -----------------------------------<br>
          Paper abstracts should be submitted electronically by April
          14, 2017 via<br>
          EasyChair (<a class="moz-txt-link-freetext" href="https://easychair.org/conferences/?conf=morse2017">https://easychair.org/conferences/?conf=morse2017</a>).
          Submitted papers<br>
          should conform to the ACM SIG Proceedings Style (alternate
          format).<br>
          <br>
          Submissions to the workshop are possible in two categories:<br>
          - Regular Papers (6 pages)  should  describe  original  work 
          on  a  problem  or<br>
            solution w.r.t. the described topics of interest.<br>
          - Position Papers (2-4 pages) should present  a  well-defined 
          position  on  how<br>
            model-driven  techniques  can  improve the  software
          engineering  of   robotic<br>
            systems.<br>
          <br>
          The accepted  papers  will  be  digitally  published  in 
          CEUR-WS.   Authors  of<br>
          accepted    papers    will    be    expected    to   
          attend    the    workshop.<br>
          <br>
          -----------------------------------<br>
          For more information please visit
          <a class="moz-txt-link-freetext" href="http://st.inf.tu-dresden.de/MORSE17">http://st.inf.tu-dresden.de/MORSE17</a></font><br>
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    <pre class="moz-signature" cols="72">-- 
Dr.-Ing. Sebastian Götz
Researcher (tenured)

Technische Universität Dresden
Fakultät für Informatik
Institut für Software- und Multimediatechnik
Lehrstuhl für Softwaretechnologie
www: <a class="moz-txt-link-freetext" href="http://www.st.inf.tu-dresden.de/">http://www.st.inf.tu-dresden.de/</a>
Mail: <a class="moz-txt-link-abbreviated" href="mailto:sebastian.goetz@acm.org">sebastian.goetz@acm.org</a>
Kontakt: INF 2084
Tel.: +49 351 463 38346

jExam Group
www: <a class="moz-txt-link-freetext" href="http://www.jexam.de">http://www.jexam.de</a></pre>
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