El autor Antonio Bandera ha publicado 2 artículo(s):

Dealing with variability in open-ended environments requires robots to adapt themselves according to the perceived situation in order to achieve the required quality of service (defined in terms of safety, performance or energy consumption, among other criteria). In this sense, context awareness and runtime self-adaptation allows moving autonomous robot navigation one step forward. The ambition of the MIRoN Project was to provide a complete framework enabling designers to endow robots with the ability of self-adapting their course of action at runtime, according to the external and internal context information available. Our proposal relies on the systematic use of models for dynamically reconfiguring the robot behavior, defined in terms of Behavior Trees, according to the runtime prediction and estimation of quality of service metrics based on system-level non-functional properties.

Autores: Juan F. Ingles-Romero / Renan Salles de Freitas / Adrián Romero-Garces / Antonio Bandera / Jesus Martinez / José Ramón Lozano-Pinilla / Daniel Garcia-Pérez / Cristina Vicente-Chicote / 
Palabras Clave: context-awareness - EU H2020 R&D Projects - Robotics - Self-Adaptation

Non-functional properties are an essential part of any software solution. There is a lot of literature on what non-functional properties are but, unfortunately, there is also a lot of disagreement and different points of view on how to deal with them. Non-functional properties, such as safety or dependability, become particularly relevant in the context of robotics. In the EU H2020 RobMoSys Project, non-functional properties are treated as first-class citizens and considered key added-value services. In this vein, the RoQME Integrated Technical Project, funded by RobMoSys, aims at contributing a model-driven tool-chain for dealing with system-level non-functional properties, enabling the specification of global robot Quality of Service (QoS) metrics. The estimation of these metrics at runtime, in terms of the contextual information available, can then be used for different purposes, such as robot behavior adaptation or benchmarking.

Autores: Cristina Vicente-Chicote / Javier Berrocal / José Manuel García-Alonso / Juan Hernández / Antonio Bandera / Jesús Martínez / Adrián Romero-Garcés / Roberto Font / Juan Francisco Inglés-Romero / 
Palabras Clave: MDE - Non-functional Properties - QoS metrics - Service Robotics