From MDKE15

Revision as of 16:54, 20 January 2015

Upcoming Dates & Deadlines

• February, 21: Submission deadline for extended abstracts
• March, 01: Notification of acceptance
• March, 13: Workshop date

Theme and Goals

Robotics is a growing discipline where developers with different backgrounds and focuses work together. Nowadays robotic-systems usually consist of a particular hardware platform with specific software architecture. Knowledge about sensor interaction, constraints and further information is coded within the architecture or certain modules. ROS is one step towards interfacing different robotic algorithms, software, etc. with a unique interface. Nevertheless information about how to handle things is still coded in single solutions without harmonized interfaces and model descriptions.

Model-Driven Engineering (MDE) already has huge impact on other fields. Currently, there are various approaches to the engineering of robotics applications, but widely applicable and thus accepted approaches have yet to emerge. This in part is due to the system lock-in that comes with selection of a (modeling) framework. Improving re-use and modularity of robotics applications requires to model the implicit knowledge encapsulated in current robotics modules and models explicitly. Applying knowledge engineering (KE) to model-driven robotics development will ease reuse and enable more efficient robotics software engineering.

Topics of Interest

This workshop aims to bring together researchers from two different fields: on one hand frameworks, languages, and tools for MDE have been developed, on the other hand robotics systems consist of an increasing amount of heterogeneous software which contains new exploitable knowledge about their properties and composition. The demands on robotics software regarding reusability, reliability, expandability, and efficiency are very high, hence suitable modeling techniques are required to achieve high quality software products. Furthermore the programming costs for robots in industrial lines as well as for service robotics applications are continuously increasing. To reduce such costs via reuse, methods developed in MDE and KE should be exhaustively applied to robotics software engineering. As robotics software engineering faces various challenges (e.g., software architecture, communication, motion planning). This workshop aims to provide a platform for the presentation of novel approaches to tackle these challenges by means of MDE and KE and how these helps to reduce cost and time in the development process. The presented methods may range from modeling languages and tools for very specific aspects to knowledge-aware modeling languages to complete frameworks in the robotics domain. The scope of this workshop includes, but is not limited to:

• Integration of knowledge engineering with architecture and deployment modeling
• Composition of modules and components with the help of knowledge engineering
• Modeling languages for knowledge engineering
• Toolchains for the knowledge-aware modeling of robotics applications
• Applications of knowledge engineering to models at run-time and self-* properties
• Knowledge-Driven model transformation between languages and frameworks

Workshop Program

The workshop will be held Friday, March, 13th, 10:45 to 12:15 in Room 2.

• 10:45 - 10:50 Opening & Introduction
• 10:50 - 11:20 Keynotes from industry and science
• 11:20 - 12:00 Authors' presentations
• 12:00 - 12:15 Discussion and Closing

Submission Guidelines

All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity by the program committee. All workshop papers should be submitted electronically in PDF format through the EasyChair workshop website. The workshop results will be published at RWTH Open Access publication server.

Organizing Committee

• Ulrike Thomas, German Aerospace Center (DLR e.V.), Germany
• Klas Nilsson, Lund University, Sweden
• Bernhard Rumpe, RWTH Aachen University, Germany
• Andreas Wortmann, RWTH Aachen University, Germany

Program Committee

• Anders Billesø Beck, Danish Technological Institute, Denmark
• Matthias Lutz, University of Applied Sciences Ulm, Germany
• Jacek Malec Lund University, Sweden
• Martin Naumann, Fraunhofer IPA, Germany
• Jan Oliver Ringert, Tel Aviv University, Israel