Service robots depend on a huge variety of skills in order to robustly fulfil different tasks in real-world environments. Meanwhile, a huge body of algorithms and approaches exist (e.g. navigation, object recognition, etc.) all with different properties (e.g. in terms of accuracy, resource requirements etc.). Project P4 aims at modelling utility, costs and quality of robot capabilities. At run-time, a robot shall adequately select from available capabilities to achieve its task (that is, with the minimum required quality and with adequate resources). For example, asking a person whether a corridor is crowded can cause less costs than driving there and sensing, but can be less reliable than asking another robot.
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. Heiko Neumann, Institute of Neural Information Processing, Ulm University
Expert advisors
Prof. Dr. Susanne Biundo-Stephan, Institute of Artificial Intelligence, Ulm University
Assigned to: | Ulm University of Applied Sciences
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Method/technologies: | planning & reasoning, interaction |
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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