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D. Drenjanac, S. Tomic, E. Kühn:
"A Semantic Framework for Modeling Adaptive Autonomy in Task Allocation in Robotic Fleets";
Talk: 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Larnaca, Zypern; 2015-06-15 - 2015-06-17; in: "Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2015 IEEE 24th International Conference on", IEEE, (2015), ISBN: 978-1-4673-7692-1; 15 - 20.

Fundamental problem in human-robot teams is to
find a set of heterogeneous robots that have to cooperate to
execute a complex mission. This paper describes the Shared
Knowledge Interaction Modeling (SKIM) framework for task
allocation and how it is used to: 1) evaluate the performance of
finding a set of robots to execute a certain task, and 2) model
shared knowledge as a basis for adaptive autonomy in mixed
human-robot teams. The shared knowledge is described by means
of two ontologies: SKIM Resource Ontology (SKIM-RO) and
SKIM Coordination Ontology (SKIM-CO). SKIM-RO describes
resources, including robot capabilities and task requirements,
and SKIM-CO describes coordination constraints for robot-robot
and robot-human interactions. SKIM-CO is a basis for reasoning
which enables the task allocation, and captures the concept of
adaptive autonomy. This paper illustrates how framework is used
to model and evaluate performance of task allocation in three
use cases with the different level of task complexity. The results
indicate how adaptive autonomy and shared knowledge improve
performance in task allocation in complex missions.

http://dx.doi.org/10.1109/WETICE.2015.29