Description du projet
Adaptation fiable et sûre de logiciels robotiques autonomes
Les robots du futur devront avoir la capacité de s’adapter aux changements, y compris aux interactions avec les humains. Les adaptations ne pouvant compromettre la fiabilité, les robots doivent changer de comportement tout en maintenant ou en améliorant les performances et la sécurité. Le projet RoboSAPIENS, financé par l’UE, développera des adaptations logicielles robotiques autonomes sûres, fiables et efficaces et établira une base solide pour garantir que ces adaptations logicielles sont déployées de manière sûre, fiable et efficace. Cela permettra une auto-adaptation ouverte tout en incorporant la sécurité dès la conception. Sur la base de ces fondements, le projet vise à créer des outils de conception et des plateformes robotiques de première qualité. Le projet présentera l’auto-adaptation robotique fiable sur un robot de désassemblage industriel, un essaim robotique d’entrepôt, une coque prolongée d’un navire autonome et l’interaction humain-robotique.
Objectif
The robots of tomorrow will be endowed with the ability to adapt to drastic and unpredicted changes in their environment including humans.
Such adaptations can however not be boundless: the robot must stay trustworthy, i.e. the adaptations should not be just a recovery
into a degraded functionality. Instead, it must be a true adaptation, meaning that the robot will change its behavior while maintaining
or even increasing its expected performance, and stays at least as safe and robust as before.
RoboSAPIENS will focus on autonomous robotic software adaptations and will lay the foundations for ensuring that such software
adaptations are carried out in an intrinsically safe, trustworthy and efficient manner, thereby reconciling open-ended self-adaptation
with safety by design. RoboSAPIENS will also transform these foundations into 'first time right'-design tools and robotic platforms,
and will validate and demonstrate them up to TRL4.
To achieve this over-all goal, RoboSAPIENS will extend the state of the art in four main objectives.
1. It will enable robotic open-ended self-adaptation in response to unprecedented system structural and environmental changes.
2. It will advance safety engineering techniques to assure robotic safety not only before, during and after adaptation.
3. It will advance deep learning techniques to actively reduce uncertainty in robotic self-adaptation.
4. It will assure trustworthiness of systems that use both deep-learning and computational architectures for robotic self-adaptation.
To realise these objectives, RoboSAPIENS will extend techniques such as MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) and
Deep Learning to set up generic adaptation procedures and also use an SSH dimension.
RoboSAPIENS will demonstrate this trustworthy robotic self-adaptation on four industry-scale use cases centered around an industrial
disassembly robot, a warehouse robotic swarm, a prolonged hull of an autonomous vessel, and human-robotic interaction.
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robots
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Mots‑clés
Programme(s)
Régime de financement
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
8000 Aarhus C
Danemark