Call for Papers
Robots are an indispensable part of modern production facilities. In the
future, robots will also become more common in daily life. Currently, however,
there is a lack of standardization w. r. t. hardware/software platforms for
robots, leading to a vast landscape of isolated, incompatible, task-specific
and, thus, non-reusable solutions. Consequently, there is a need for new
engineering methodologies for the design, implementation and execution of
software for robotic platforms.
Model-Driven Robot Software Engineering (MORSE) is a promising research field
combining Software Engineering and Robotics. Its objectives are to introduce
model-driven development methodologies for the development of robot software.
At the same time, formal methods should be transferred to robotics because
"robot apps" must be certified and verified. MORSE attempts to fill this gap.
Topics of Interest
Submissions are encouraged, but not limited, in the following topics:
- Robotic Platforms: MDA, Models, Processes and Tools
- Hardware/Software Abstractions | Architectures | Metamodels
- Code- and Application-Reuse | Managed Redundancy | Deployment
- Variability in Robotic Systems | Self-Adaptive Systems | Evolution
- Programming Languages | Paradigms | Models | DSLs
- Models for and Modelling in Robotics
- Sensors and Actuators | Sensor Integration
- Computer Vision and Image Processing | Recognition and Tracking
- Knowledge Representation and Reasoning | Context Models
- Ontologies and Conceptual Modeling
- Localization, Mapping and Navigation
- Autonomous Robots | Robot Learning and Artificial Intelligence
- Robot Ecosystems and Total Cost of Ownership
- Product-Line Development | Robot Apps
- End-User Customization | Multi-Tenancy
- Model-Driven Quality Assurance of Robotic Systems
- Verification | Validation | Testing | Simulation | Debugging | Profiling
- Handling Emergent Behavior and Uncertainty | Software Qualities
- Multi-Robot Systems
- Cooperative Perception | Planning | Task Allocation | Coordination
- Robot Swarms | Multi-Agent Robotic Systems
Submission
The workshop participants will be selected based on their experience and ideas
related to this maturing field. You are invited to apply for attendance by
sending:
- a full paper (15 pages) on original research, lessons learned from realizing
an approach or experiences on transferring a research prototype into practice,
- a position paper (6 pages) covering a well-argued vision or position
All papers must conform to the Springer LNCS formatting guidelines. At
least three PC members will review each submission. The authors will be
notified about acceptance before the STAF 2017 early registration deadline.
You can submit your papers via EasyChair here.
Springer Post-Proceedings
All papers, which are accepted for presentation at the workshop, will undergo a second review round before being published in Springer joint workshop proceedings of STAF.
Organizers
- Sebastian Götz (main contact) (web), Technische Universität Dresden, Germany
- Christian Piechnick (web), Technische Universität Dresden, Germany
- Andreas Wortmann (web), RWTH Aachen University, Germany
Program Committee
- Colin Atkinson, University of Mannheim, Germany
- Herman Bruyninckx, KU Leuven, Belgium
- Kerstin Eder, University of Bristol, UK
- Frank J. Furrer, TU Dresden, Germany
- Kurt Geihs, Universitaet Kassel, Germany
- Diana Goehringer, Ruhr-University Bochum, Germany
- Nico Hochgeschwender, Bonn-Rhine-Sieg University of Applied Sciences, Germany
- Bernhard Jung, TU Freiberg, Germany
- Alexander Jungmann, IAV GmbH, Germany
- Jens Knoop, TU Vienna, Austria
- Lorenzo Natale, Instituto Italiano di Tecnologia, Italy
- Arne Nordmann, Robert Bosch GmbH, Germany
- Ralf Reussner, Karlsruhe Institute of Technology, Germany
- Bernard Rumpe, RWTH Aachen, Germany
- Davide Di Ruscio, Università degli Studi dell'Aquila, Italy
- Ulrik Schultz, University of Southern Denmark, Denmark
- Serge Stinckwich, IRD, France
- Cristina Vicente-Chicote, Universidad de Extremadura, Spain
- Heike Wehrheim, University of Paderborn, Germany
- Sebastian Wrede, CoR-Lab, Bielefeld University, Germany
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