Descrizione del progetto
La robotica per una gestione dei rifiuti efficiente
Le operazioni di gestione dei rifiuti rimangono soprattutto manuali nell’UE, rendendo difficile soddisfare i requisiti della direttiva sui rifiuti. Un modo per invertire questa tendenza è introdurre la tecnologia robotica e il riconoscimento degli oggetti. Il progetto WEXOBOT, finanziato dall’UE, svilupperà un sistema di smistamento robotico in grado di riconoscere diversi oggetti. Il sistema si basa su una tecnologia pionieristica che raccoglie dati sul suo ambiente, prende decisioni veloci e supporta il braccio robotico più veloce del mercato in ambienti incerti. Esso riprogramma robot generici e li trasforma in robot per scopi specifici. Il progetto è inteso a preparare il sistema alla commercializzazione che comporterà benefici per l’UE e, nello specifico, per il settore della gestione dei rifiuti.
Obiettivo
The European waste management is not efficient enough to keep up with the targets of the Waste Directive and the waste sorting is not as profitable as it could be with robotizing and object recognition. We introduce the solution to these challenges with the Waste External Robot Control WEXOBOT, a robotic waste sorting system which has the potential to revolutionize waste sorting by replacing low-performing hazardous manual jobs with highly efficient and fast autonomous robotic pickers.
The major innovation is a unique self-learning system, which gathers data of its environment, makes smart decisions and moves a robot arm in an unpredictable environment faster than any other system on the market. We work with general purpose industrial robots and turn such mass-produced robots into special purpose robots.
Byte Motion aims to support as many robots and brands as possible making them faster and easier to reprogram. The technical solution combines the latest VR/AR solutions for human-like robotic movements with existing robotic technologies to create a new standard for telerobotic and telepresence. As of January 2019, we have developed Byte Motion’s beta version of AI for object recognition which now can recognize glass bottles, PET, Tetra Pak, batteries, and hopefully, it expands to other materials and shapes.
The commercialization of WEXOBOT will bring benefits to European society at large as well as to waste managing companies. There will be sustainable effects in economic, ecologic and social terms. For Byte Motion the innovation project will lead to a generation of €6.9 Million in turnover and creating 36 new job positions in a four-year perspective after market launch as well as creating IP rights from the outcome of the Project. The demand for the innovation and support of the proposed Project is presented through the 8 letters of support. The long-term goal of this project is to create a successful market introduction and growth path for Byte Motion’s innovation
Campo scientifico
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
725 91 Vaesteras
Svezia
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.