The MIRoN Project — Endowing robots with context-awareness and self-adaptation capabilities

Resumen:

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.

Palabras Clave:

context-awareness - EU H2020 R&D Projects - Robotics - Self-Adaptation

Autor(es):

• Juan F. Ingles-Romero {juanfran.ingles@biometricvox.com}
  Biometric Vox - Spain
  
• Renan Salles de Freitas {renan028@gmail.com}
  Blue Ocean Robotics - Brazil
  
• Adrián Romero-Garces {argarces@uma.es}
  University of Málaga - Spain
  
• Antonio Bandera {ajbandera@uma.es}
  University of Malaga - Spain
  
• Jesus Martinez {jmcruz@lcc.uma.es}
  University of Malaga - Spain
  
• José Ramón Lozano-Pinilla {joserralp@unex.es}
  Universidad de Extremadura - Spain
  
• Daniel Garcia-Pérez {danielgpuex@gmail.com}
  Universidad de Extremadura - Spain
  
• Cristina Vicente-Chicote {cristinav@unex.es}
  Universidad de Extremadura - Spain
  

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