Descripción del proyecto
Iniciativa de sensibilización sobre investigación y desarrollo en Serbia
La exploración espacial robotizada es fundamental, ya que permite estudiar entornos demasiado peligrosos y lejanos para los exploradores humanos. Por desgracia, dichos entornos peligrosos pueden causar graves averías en el «hardware» que son irreparables, lo cual a menudo provoca el desmantelamiento del robot. El equipo del proyecto RECOVER.ME financiado por el Consejo Europeo de Investigación, reconoce esta ineficacia y pretende desarrollar una solución novedosa para la gestión de fallos basada en la metacognición que emule la comprensión humana de los fallos. La solución permitiría a los robots recuperarse de averías de «hardware» graves pero subsanables sin ayuda externa, lo cual supondría una mayor eficacia en futuros proyectos de exploración e infraestructuras espaciales.
Objetivo
The aim of the RECOVER.ME project is to achieve human ingenuity in dealing with hardware faults in robotic space exploration. The hypothesis of the project is, that as robots acquire human-like metacognitive
awareness and metacognitive regulatory abilities, they will be enabled to recover from severe but rectifiable hardware malfunction all by themselves. This is of particular importance to planetary exploration, as
a hardware fault need not be the end of a mission. However, as of today, once a hardware malfunction occurs, the remote robot is typically taken out of operation and troubleshooting is done manually. In the
future, especially, when more complex robots are deployed to construct planetary infrastructure for crewed exploration, this can no longer be tolerated. Considering that a hardware fault may occur at any time, such
a situation can become safety-critical for the robot, the established infrastructure, and for astronauts in the vicinity of the robot.
To overcome this issue, RECOVER.ME proposes a novel approach for metacognition-enabled failure handling. Instead of relying on hard-coded recovery strategies by specifying how a robot has to react to a certain sub-system fault, the project aims to bootstrap failure handling as a property of the cognitive architecture of the robot itself. Metacognitive awareness is created through a novel knowledge representation that describes how hardware faults may impact robot capabilities. Metacognitive planning will yield contingency configurations employing abstract, affordance-based first order-logic planning for self-programming. To empower robots to monitor their own programming and evaluate the best strategy to react to arbitrary failure cases, generic limitation models will translate sub-symbolic fault information into semantically interpretable knowledge for metacognitive monitoring and metacognitive evaluation. This will provide robots with competent strategies to deal with faults in a similar way to humans.
Palabras clave
Programa(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régimen de financiación
HORIZON-ERC - HORIZON ERC GrantsInstitución de acogida
51147 Koln
Alemania