Description du projet
Des robots pour faciliter la communication physique pendant l’apprentissage de l’écriture et de la musique
La recherche en neuroscience a démontré les avantages de l’interaction physique dans l’apprentissage de tâches sensorimotrices complexes. Le système nerveux central humain reconnaît le contrôle moteur d’un partenaire et peut l’utiliser pour augmenter l’exécution d’une tâche et l’apprentissage moteur. Le projet CONBOTS, financé par l’UE, étudiera un changement de paradigme qui facilite la médiation de la communication physique par des robots pour améliorer l’écriture chez les enfants et l’apprentissage de la musique chez les musiciens débutants. Le projet utilisera une technologie robotique innovante, des capteurs portables et des algorithmes d’apprentissage automatique pour développer une plateforme robotique physiquement interactive et connectée aux humains pour soutenir l’apprentissage de tâches sensorimotrices complexes. Les résultats du projet feront progresser l’utilisation de la robotique dans le domaine de l’éducation.
Objectif
From a parent coordinating movements to help a child learn to walk, to a violinist training a concerto, humans rely on physical interaction to learn from each other and from the environment. Building on a strongly multidisciplinary foundation with an integrated approach, CONBOTS proposes a paradigm shift that aims to augment handwriting and music learning through robotics, by creating a physically interacting robotic platform connecting humans in order to facilitate the learning of complex sensorimotor tasks.
The newly designed platform will combine four enabling technologies: i) compact robotic haptic devices to gently interact with upper limbs; ii) an interactive controller yielding physical communication, integrating differential Game Theory (GT) and an algorithm to identify the partner’s control; iii) a bi-directional user interface encompassing AR-based application-driven serious games, and a set of wearable sensors and instrumented objects; iv) Machine learning algorithms for tailoring learning exercises to the user physical, emotional, and mental state
CONBOTS is building on recent neuroscientific findings that showed the benefits of physical interaction to performing motor tasks together, where the human central nervous system understands a partner motor control and can use it to improve task performance and motor learning. This will be implemented on innovative robotic technology, wearable sensors and machine learning techniques to give rise to novel human-human and human-robot interaction paradigms applied in two different learning contexts: i) training graphomotor skills in children learning handwriting; ii) augmenting learning performance in beginner musicians.
Using its neuroscience-driven unifying approach to motor learning and physical communication CONBOTS will expand the impact and the application of robotics to the education industry.
Champ scientifique
- natural sciencesbiological sciencesneurobiology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesmathematicsapplied mathematicsgame theory
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Mots‑clés
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
NE1 7RU Newcastle Upon Tyne
Royaume-Uni