A service robot / companion needs to achieve a certain quality-of-service (quality of task execution) under adequate use of resources (e.g. level of robustness and autonomy in relation to spent resources). One approach is to explicate and model variation points at design-time which the robot then can exploit at run-time for situation-aware decisions. Late-binding of variation points at run-time shall take into account and balance non-functional properties (safety, energy consumption, quality of task execution, etc.). The objective is to improve robustness and adequacy of task execution in all-day environments. Project P3 aims at tightly linking behaviour models (e.g. task nets, process models) with software models (model-driven software development). This includes the transformation of design-time models and design-time policies into run-time models and run-time configurations.
Supervisor and assignment
Direct supervisor
Prof. Dr. Christian Schlegel, Institute of Computer Science (real-time systems, service robotics), Ulm University of Applied Sciences
Tandem partner
Prof. Dr. Susanne Biundo-Stephan, Institute of Artificial Intelligence, Ulm University
Expert advisors
Prof. Dr. Manfred Reichert, Institute of Databases and Information Systems, Ulm University
Assigned to: | Ulm University of Applied Sciences
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Method/technologies: | planning & reasoning |
Contact
For questions regarding the Post Graduate School of Ulm University and Ulm University of Applied Sciences "Cognitive Computing in Socio-Technical Systems", please contact the project leaders Prof. Dr. Manfred Reichert and Prof. Dr. Christian Schlegel.
Project leaders
Prof. Dr. Christian Schlegel
Ulm University of Applied Sciences
Department of Computer Science
Prof. Dr. Manfred Reichert
Ulm University
Institute of Databases and Information Systems
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