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PICKPLACE SIGNED

Flexible, safe and dependable robotic part handling in industrial environments

Total Cost €

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EC-Contrib. €

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Partnership

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 PICKPLACE project word cloud

Explore the words cloud of the PICKPLACE project. It provides you a very rough idea of what is the project "PICKPLACE" about.

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Project "PICKPLACE" data sheet

The following table provides information about the project.

Coordinator
ULMA MANUTENCION S. COOP. 

Organization address
address: GARAGALTZA AUZOA 50
city: ONATI
postcode: 20560
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website http://pick-place.eu/
 Total cost 3˙085˙832 €
 EC max contribution 2˙700˙556 € (88%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme IA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ULMA MANUTENCION S. COOP. ES (ONATI) coordinator 448˙043.00
2    FUNDACION TEKNIKER ES (EIBAR GUIPUZCOA) participant 912˙976.00
3    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 526˙102.00
4    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 362˙500.00
5    MONDRAGON ASSEMBLY SOCIEDAD COOPERATIVA ES (ARETXABALETA) participant 234˙183.00
6    TOFAS TURK OTOMOBIL FABRIKASI ANONIM SIRKETI TR (SISLI ISTANBUL) participant 216˙750.00

Map

 Project objective

Pick and place are basic operations in most robotic applications, whether in industrial setups (e.g., machine tending, assembling or bin picking) or in a service robotic domain (e.g., agriculture or at home). In some structured scenarios and with certain types of parts, picking and placing is a mature process. However, that is not the case when it comes to manipulating parts with high variability or in less structured environments. Handling systems are present in any logistics system to interface between the storage and the transportation systems. For non-structured scenarios, picking, packing and unpacking systems do exist at laboratory level. However, they have not reached the market yet due to factors like the lack of efficiency, robustness and flexibility of currently available manipulation and perception technologies. The market demands systems that allow for a reduction of costs in the supply chain, increasing the competitiveness for manufacturers and bringing a cost reduction for consumers. Handling systems represent the highest impact in the short-tomidterm in warehouse-based systems (mainly at order picking and distribution centres) and in intra-logistics operations in factories and retail. The technology gap is the lack of flexible solutions that can handle objects of variable size, shape and weight as well as different surface properties and stiffness. PICKPLACE proposes combining human and robot capabilities to achieve a safe, flexible, dependable and efficient hybrid pick-and-package (PAK) solution. It includes dynamic package configuration planning, flexible grasping strategies using an innovative multifunctional gripper, robust environment perception and mechanisms and strategies for safe human-robot collaboration. These scientific and industrial objectives are motivated by the real requirements demanded by the industry, represented in this proposal by ULMA, System Provider, who will facilitate a realistic and relevant scenario for the validation

 Deliverables

List of deliverables.
Website Websites, patent fillings, videos etc. 2019-11-15 11:18:39
Report on Communication and Dissemination activities Documents, reports 2019-11-15 11:18:43
Dissemination material Websites, patent fillings, videos etc. 2019-11-15 11:18:40

Take a look to the deliverables list in detail:  detailed list of PICKPLACE deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Ander Iriondo, Elena Lazkano, Loreto Susperregi, Julen Urain, Ane Fernández and Jorge Molina.
Pick and Place Operations in Logistics Using a Mobile Manipulator Controlled with Deep Reinforcement Learning”.
published pages: 348, ISSN: 2076-3417, DOI:
Applied Sciences semi-monthly. Online 2019-09-05
2018 Marco Faroni, Manuel Beschi and Antonio Visioli
Predictive Inverse Kinematics for Redundant Manipulators: Evaluation in Re-Planning Scenarios
published pages: 238–243, ISSN: 2405-8963, DOI:
ScienceDirect monthly 2019-09-05

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The information about "PICKPLACE" are provided by the European Opendata Portal: CORDIS opendata.

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