The Need for a Meta-Architecture for Robot Autonomy

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Long-term autonomy of robotic systems implicitly requires dependable platforms that are able to naturally handle hardware and software faults, problems in behaviors, or lack of knowledge. Model-based dependable platforms additionally require the application of rigorous methodologies during the system development, including the use of correct-by-construction techniques to implement robot behaviors. As the level of autonomy in robots increases, so do the cost of offering guarantees about the dependability of the system. Certifiable dependability of autonomous robots, we argue, can benefit from formal models of the integration of several cognitive functions, knowledge processing, reasoning, and meta-reasoning. Here we put forward the case for a generative model of cognitive architectures for autonomous robotic agents that subscribes to the principles of model-based engineering and certifiable dependability, autonomic computing, and knowledge-enabled robotics.
Original languageEnglish
Title of host publicationProceedings of the Second Workshop on Agents and Robots for Reliable Engineered Autonomy
Number of pages17
Publication statusPublished - 20 Jul 2022
Event2nd Workshop on Agents and Robots for reliable Engineered Autonomy: IJCAI-ECAI 2022 - Messe Wien Exhibition and Congress Center, Vienna, Austria
Duration: 24 Jul 202224 Jul 2022


Workshop2nd Workshop on Agents and Robots for reliable Engineered Autonomy
Abbreviated titleAREA 2022
Internet address


  • Robot Autonomy
  • Cognitive Architecture
  • Model-Driven Engineering
  • Autonomic Computing
  • Dependability
  • Deliberation

ASJC Scopus subject areas

  • Artificial Intelligence

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