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Self-reconfiguration of a robotic workcell for the recycling of electronic waste

Obiettivo

Currently industrial robots perform rigidly programmed tasks in highly-constrained settings. Any change in product or process requires costly restructuring of hardware and software. ReconCycle will address these issues by introducing the concept of robotic self-reconfiguration in the largely unconstrained domain of electronic waste recycling, which is still dominated by manual labor. Automation in this sector can benefit from the fact that very large batches of the same device type are to be processed but with some model differences and showing different states of damage. To be able to deal with each of these individual models, the robotic system requires flexible adaptation. Thus, the scientific objective of ReconCycle is to introduce in this sector self-reconfigurable hardware and software based on a reconfigurable robotic cell developed in a previous project. A two-step procedure is foreseen: When changing from one device-type to another, reconfiguration shall be performed in an interactive mode, where the application-engineer will be able to provide input. But, when changing from one device-model to another within a given device-type, the cell shall perform re-configuration on its own through a combination of sensorimotor learning approaches and other AI techniques. This constitutes the main novel scientific contributions of ReconCycle and is aimed at advancing our understanding of robotic perception-action processes in unconstrained industrial settings. We will use highly compliant soft robots and end-effectors, allowing humans to operate together with the machines to complete any missing steps. This reduces automation complexity and brings this project into a feasible regime for up to TRL 6. Electronic waste recycling is an important and strongly growing economic and environmental sector. The industrial objective of ReconCycle is to introduce here a much-increased level of automation resulting in a potentially high long-term impact on industry and society.

Campo scientifico

  • /scienze naturali/informatica e scienze dell'informazione/software
  • /ingegneria e tecnologia/ingegneria ambientale/gestione dei rifiuti/riciclaggio

Invito a presentare proposte

H2020-ICT-2019-2
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Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

INSTITUT JOZEF STEFAN
Indirizzo
Jamova 39
1000 Ljubljana
Slovenia
Tipo di attività
Research Organisations
Contributo UE
€ 844 750

Partecipanti (5)

GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS
Germania
Contributo UE
€ 845 750
Indirizzo
Wilhelmsplatz 1
37073 Gottingen
Tipo di attività
Higher or Secondary Education Establishments
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Italia
Contributo UE
€ 649 708,75
Indirizzo
Via Morego 30
16163 Genova
Tipo di attività
Research Organisations
QBROBOTICS SRL
Italia
Contributo UE
€ 448 875
Indirizzo
Via Giuntini 13, Lotto I,2 Piano Int M
56023 Navacchio Cascina
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
TECHNISCHE UNIVERSITAET MUENCHEN
Germania
Contributo UE
€ 709 375
Indirizzo
Arcisstrasse 21
80333 Muenchen
Tipo di attività
Higher or Secondary Education Establishments
ELECTROCYCLING GMBH
Germania
Contributo UE
€ 355 500
Indirizzo
Landstrasse 91
38644 Goslar
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)