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Multipurpose robotics for mAniPulation of defoRmable materIaLs in manufacturing processes
Abstract

APRIL project aims at implementing and deploying market oriented, low cost and multipurpose robots that supports semiautomatic tasks in manufacturing production lines that use flexible or deformable materials in industries of any size or domain. APRIL will use fine grasping, innovative computational vision technology, gathering of sensors’ information, as well the development of modular and different middleware layers and interfaces. APRIL will provide innovative sensoring and computational vision supporting detection of slips, estimate weight, dynamic center of mass, or regulating grasping forces while manipulating deformable objects of different types (e.g. paper, chicken breast, shoes’ insoles, viscoelastic textile materials, cables, etc.). A federated approach, wireless communication, usage of multipurpose hands and placement of various sensors, will connect all robots to a cloud based knowledge base that will contain the needed information to perform the different jobs. APRIL system will be deployed in six different demonstration use cases across Europe. Robots integrated in the manufacturing processes will operate on several critical steps that affect production, packing and quality assurance on the different manufacturers involved as pilot sites. On one hand, introduction of APRIL system will produce an expected increase on safety and related health conditions of working environments. On the other hand, APRIL will enable an increase on productivity and quality of the final products; thus leading to a greater competitiveness of European industry. The project will be implemented in 40 months by 15 partners from 8 European countries.

Project information
Acronym
APRIL
Start date
01/04/2020
End date
31/07/2023
Role
Partner
Funds
European
People involved
Francesco Rea
Francesco Rea
COgNiTive Architecture for Collaborative Technologies
Chiara Bartolozzi
Chiara Bartolozzi
Event-Driven Perception for Robotics
Alessandra Sciutti
Alessandra Sciutti
COgNiTive Architecture for Collaborative Technologies
Budget
Total budget: 508312.5€
Total contribution: 508312.5€
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