Authors: Alex Lotz, Christian Schlegel, Cristina Vicente-Chicote, Juan F. Inglés-Romero
Tags: 2013, conceptual modeling
Service robots act in open-ended and natural environments. Therefore, due to the huge number of potential situations and contingencies, it is necessary to provide a mechanism to express dynamic variability at design-time that can be efficiently resolved on the robot at run-time based on the then available information. In this paper, we present a modeling process to separately specify at design-time two different kinds of dynamic variability: (i) variability related to the robot operation, and (ii) variability associated with QoS. The former provides robustness to contingencies, maintaining a high success rate in robot task fulfillment. The latter focuses on the quality of the robot execution (defined in terms of non-functional properties like safety or task efficiency) under changing situations and limited resources. We also discuss different alternatives for the run-time integration of the two variability management mechanisms, and show real-world robotic examples to illustrate them.Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-642-38484-4_31
