While various challenging issues for service robotics have been solved to a degree where their deployment is possible, integration of the corresponding hardware components and software components requires the intensive collaboration of domain experts, robotics experts, and software experts. The iserveU project investigates the feasibility of pervasive model-driven software engineering for complex service robotics applications.
The following presents selected publications that present research results relating to this project.
Systematic Language Extension Mechanisms for the MontiArc Architecture Description Language. Butting, Arvid, Haber, Arne, Hermerschmidt, Lars, Kautz, Oliver, Rumpe, Bernhard, and Wortmann, Andreas. In European Conference on Modelling Foundations and Applications (ECMFA’17), pp. 53–70, Springer, 2017.
Modeling Robotics Tasks for Better Separation of Concerns, Platform-Independence, and Reuse. Adam, Kai, Butting, Arvid, Heim, Robert, Kautz, Oliver, Pfeiffer, Jérôme, Rumpe, Bernhard, and Wortmann, Andreas. Shaker Verlag, 2017.
Executing Robot Task Models in Dynamic Environments. Adam, Kai, Butting, Arvid, Kautz, Oliver, Rumpe, Bernhard, and Wortmann, Andreas. In Proceedings of MODELS 2017. Workshop EXE, 2017.
Model-Driven Separation of Concerns for Service Robotics. Adam, Kai, Butting, Arvid, Heim, Robert, Kautz, Oliver, Rumpe, Bernhard, and Wortmann, Andreas. In International Workshop on Domain-Specific Modeling (DSM’16), pp. 22–27, ACM, 2016.
The complete list of publications is available from my publications website.
Funded by BMBF.