Descripción del proyecto
Adaptación fiable y segura de «software» robótico autónomo
Los robots del futuro deben tener la capacidad de adaptarse a los cambios, incluidas las interacciones con las personas. Como las adaptaciones no pueden comprometer la fiabilidad, los robots deben cambiar de comportamiento manteniendo o mejorando el rendimiento y la seguridad. El equipo del proyecto RoboSAPIENS, financiado con fondos europeos, desarrollará adaptaciones de «software» robótico autónomo seguras, fiables y eficientes y establecerá una base sólida para garantizar que estas adaptaciones de «software» se desplieguen de forma segura, fiable y eficiente. Esto permitirá una autoadaptación abierta mientras incorpora un elemento de seguridad por diseño. Partiendo de estas bases, el equipo del proyecto pretende crear herramientas de diseño y plataformas robóticas «a la primera». Además, mostrará la autoadaptación robótica de confianza en un robot de desmontaje industrial, un enjambre robótico de almacén, el casco prolongado de un buque autónomo y una interacción humano-robótica.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2023-DIGITAL-EMERGING-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
8000 Aarhus C
Dinamarca