Description du projet
Des systèmes robotiques pour une gestion efficace des déchets
Dans l’UE, les opérations de gestion des déchets restent essentiellement manuelles, ce qui ne facilite pas le respect des exigences de la directive portant sur les déchets. Une façon d’inverser cette tendance consiste à introduire des technologies robotiques ainsi que la reconnaissance d’objets. Le projet WEXOBOT, financé par l’UE, va développer un système robotisé de tri des déchets qui sera capable de reconnaître plusieurs objets. Le système est basé sur une technologie inédite qui collecte des données sur son environnement, qui prend des décisions rapides et qui peut prendre en charge le bras robotique le plus rapide du marché dans des environnements incertains. Il reprogramme des robots génériques et les transforme en robots à usage spécifique. Le projet entend préparer la phase de commercialisation du système, qui se traduira par des avantages pour l’UE, en particulier pour le secteur de la gestion des déchets.
Objectif
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
Champ scientifique
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
725 91 Vaesteras
Suède
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.