Project Description:

 

Service robots depend on a huge variety of skills in order to robustly fulfill 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 modeling 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.

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Direct supervisor:

• Prof. Dr. Christian Schlegel, Faculty of Computer Science, University of Applied Sciences Ulm

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

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Affiliation:	University of Applied Sciences Ulm
Methods/Technologies:	planning & reasoning, interaction
Applications:	service robotics