Faster and cheaper robots for object recognition in Waste sorting through AI and external robot control

Descripción del proyecto

Gestión eficiente de los residuos gracias a la robótica

Las tareas de gestión de residuos siguen siendo básicamente manuales en la Unión Europea (UE), lo que dificulta el objetivo de cumplir con la Directiva sobre residuos. La introducción de la robótica y el reconocimiento de objetos permitiría cambiar esta tendencia. El proyecto WEXOBOT, financiado con fondos europeos, desarrollará un sistema robótico de clasificación de residuos capaz de reconocer diferentes objetos. El sistema se basa en una tecnología innovadora que recopila datos de su entorno, toma decisiones rápidamente y es compatible con el brazo robótico más rápido del mercado en entornos inciertos. Además, puede reprogramar robots de uso genérico y convertirlos en máquinas para un trabajo en particular. Los investigadores quieren preparar el sistema para su comercialización, lo que redundará en beneficio de la UE y, sobre todo, del sector de la gestión de residuos.

Objetivo

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

Ámbito científico

Programa(s)

Tema(s)

EIC-SMEInst-2018-2020 - SME instrument

Convocatoria de propuestas

H2020-EIC-SMEInst-2018-2020

Consulte otros proyectos de esta convocatoria

Convocatoria de subcontratación

H2020-SMEInst-2018-2020-1

Régimen de financiación

SME-1 - SME instrument phase 1

Coordinador

BYTE MOTION AB

Aportación neta de la UEn

€ 50 000,00

Dirección

RUAGATAN 44
725 91 Vaesteras
Suecia

Pyme

Sí

Región

Östra Sverige Östra Mellansverige Västmanlands län

Enlaces

Contactar con la organización

Participación en los programas de I+D de la UE

Red de colaboración de HORIZON

Coste total

€ 71 429,00