Descrizione del progetto
Far crescere le soluzioni basate sull’intelligenza artificiale la e robotica per ridurre la carenza di manodopera
In settori critici come quelli dell’energia rinnovabile e dell’agricoltura, la sfida risiede nel sostenere la competitività in un contesto caratterizzato da crescente carenza di manodopera. Per salvaguardare le industrie vitali, diventa imperativo in tal senso un cambiamento sismico verso l’integrazione dell’intelligenza artificiale (IA) e della robotica. Alla luce di tali premesse, il progetto ARISE, finanziato dall’UE, introdurrà tecnologie all’avanguardia che rivoluzioneranno mansioni di manipolazione complesse, ridefinendo il futuro dell’automazione. In particolare, il progetto svilupperà manipolatori pneumatici riconfigurabili, effettori finali morbidi a rigidità variabile e moduli di percezione all’avanguardia. Questa innovativa catena di strumenti, che trova applicazione nelle attività di installazione, riparazione, trapianto e raccolta nelle aziende agricole solari e idroponiche, promette di far compiere un salto di qualità nel panorama dell’automazione. Nel complesso, l’approccio globale del progetto, dall’apprendimento per imitazione gerarchica all’implementazione dell’IA-edge, preannuncia una nuova era di efficienza e progresso.
Obiettivo
Maintaining the competitiveness and leadership position of crucial industries such as renewable energy and agriculture, is contingent upon AI and Robotics increasingly becoming a widespread and integral part of the relevant technological landscapes, particularly in the face of steep labour shortages. ARISE project aims to introduce a combination of perception and control modules around a reconfigurable robotic manipulator that will enable a step change in the level of automation of complex manipulation tasks. ARISE will comprise the following key novel technology components that will significantly push the state of the art in terms of automatic task segmentation, human robot interaction and complex manipulation: (1) Two reconfigurable pneumatic-based robotic manipulators mounted on a mobile robotic platform (2) Novel soft end-effectors with variable stiffness that will allow for a diverse set of manipulation tasks (3) A Robotic perception module comprising 3D vision algorithms (4) A Localisation and Mapping module that will allow the robot to accurately identify its position within the environment (5) A Semantic Mapping module powered by scene understanding algorithms (6) A Knowledge Representation framework that will capture important information regarding objects’ properties and relationships (7) A Hierarchical Imitation Learning framework for acquiring robotic skills to accomplish complex tasks directly from human demonstrators (8) A Human-Interaction conditioned Path and Task planning module enabling reactive robot control (9) An edge-AI framework for deploying Machine Learning models and computer vision algorithms at the edge in a streamlined fashion. The ARISE toolchain will be integrated and validated in 5 real use case scenarios including installation and repair, and transplanting and harvesting tasks, in solar and hydroponic farms, respectively.
Campo scientifico
Not validated
Not validated
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- natural sciencescomputer and information sciencesknowledge engineering
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Programma(i)
Invito a presentare proposte
HORIZON-CL4-2023-DIGITAL-EMERGING-01
Vedi altri progetti per questo bandoMeccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
15232 Chalandri
Grecia