Explore the words cloud of the CoLLaboratE project. It provides you a very rough idea of what is the project "CoLLaboratE" about.
The following table provides information about the project.
ARISTOTELIO PANEPISTIMIO THESSALONIKIS
|Coordinator Country||Greece [EL]|
|Total cost||6˙864˙600 €|
|EC max contribution||6˙864˙600 € (100%)|
1. H2020-EU.184.108.40.206. (Technologies for Factories of the Future)
|Duration (year-month-day)||from 2018-10-01 to 2021-09-30|
Take a look of project's partnership.
|1||ARISTOTELIO PANEPISTIMIO THESSALONIKIS||EL (THESSALONIKI)||coordinator||523˙125.00|
|2||ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS||EL (THERMI THESSALONIKI)||participant||786˙250.00|
|3||ASSOCIATION POUR LA RECHERCHE ET LE DEVELOPPEMENT DES METHODES ET PROCESSUS INDUSTRIELS||FR (PARIS)||participant||696˙875.00|
|4||FONDATION DE L'INSTITUT DE RECHERCHE IDIAP||CH (MARTIGNY)||participant||683˙968.00|
|5||CENTRO RICERCHE FIAT SCPA||IT (ORBASSANO)||participant||502˙750.00|
|6||INSTITUT JOZEF STEFAN||SI (LJUBLJANA)||participant||497˙218.00|
|7||UNIVERSITA DEGLI STUDI DI GENOVA||IT (GENOVA)||participant||471˙875.00|
|8||BLUE OCEAN ROBOTICS APS||DK (ODENSE M)||participant||461˙287.00|
|9||ROMAERO SA||RO (BUCURESTI)||participant||441˙250.00|
|10||ASTI MOBILE ROBOTICS SA||ES (MADRIGALEJO DEL MONTE-BURGOS)||participant||418˙750.00|
|11||ARCELIK A.S.||TR (ISTANBUL)||participant||387˙500.00|
|12||PANEPISTIMIO PATRON||EL (RIO PATRAS)||participant||356˙250.00|
|13||KOLEKTOR ORODJARNA NACRTOVANJE IN IZDELAVA ORODIJ TER ORODJARSKE STORITVE DOO||SI (IDRIJA)||participant||332˙500.00|
|14||KATHOLIEKE UNIVERSITEIT LEUVEN||BE (LEUVEN)||participant||305˙000.00|
Traditional manufacturing systems lack the necessary flexibility and reconfigurability that can allow short production cycles and fast deployment of the updated system. Although the use of automation technologies based on industrial robots can increase the adaptability of a production line, the desired flexibility cannot be achieved until abilities for genuine collaboration of the robots with the human workers are developed. CoLLaboratE will revolutionize the way industrial robots learn to cooperate with human workers for performing new manufacturing tasks, with a special focus on the challenging area of assembly operations. The envisioned system for collaborative assembly will be capable of allocating human and robotic resources for executing the production plan sharing the tasks according to the capabilities of the available actors. The CoLLaboratE project will build upon state-of-the-art methods for teaching the robot assembly tasks using human demonstration, extending them to facilitate genuine human-robot collaboration. To this end, a framework for equipping the robots and AGV mobile platforms with basic collaboration skills, such as load sharing, human touch recognition and human intention detection, will also be developed, coupled with deep reinforcement learning algorithms for increasing adaptability. Special attention will be paid to providing effective safety strategies allowing the use of a fenceless approach within the production cell. As a result, closer collaboration will be achievable and efficient production plans making optimal use of the available resources will be designed and executed. The proposed solution will be evaluated in four different pilot sites, which will be implemented as collaborative factory floors of the industrial partners in Italy, Slovenia, Turkey, and Poland.
|year||authors and title||journal||last update|
Girgin, Hakan; Calinon, Sylvain
Nullspace Structure in Model Predictive Control
published pages: , ISSN: , DOI:
Parizi, Mohammad Shahabeddini; Macovetchi, Ana-Maria; Kirstein, Franziska
A methodology for formulating and exploiting innovative technologies for collaborative robots in a manufacturing setting
published pages: , ISSN: , DOI: 10.5281/zenodo.3672631
|IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 1||2020-04-02|
Koutras, Leonidas; Doulgeri, Zoe
A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space
published pages: , ISSN: , DOI: 10.5281/zenodo.3537791
|Conference on Robotic Learning (CoRL) 2019 1||2020-04-02|
Olivas-Padilla, Brenda E.; Glushkova, Alina; Manitsaris, Sotiris
Motion analysis for identification of overused body segments: the packaging task in industry 4.0
published pages: , ISSN: , DOI: 10.5281/zenodo.3634988
|1st International Workshop on HCI Challenges in Human Movement Analysis 1||2020-04-01|
Macovetchi; Kirstein; Doulgeri; Dimeas
A Methodology to Formulate User Requirements for Designing Collaborative Robots
published pages: , ISSN: , DOI: 10.5281/zenodo.3266849
|Workshop on Physical human-robot interaction: a design focus (ICRA 2019) 1||2020-04-01|
Leon Å½lajpah, Tadej PetriÄ
Unified Virtual Guides Framework for Path Tracking Tasks
published pages: 1-17, ISSN: 0263-5747, DOI: 10.1017/s0263574719000973
JoÃ£o SilvÃ©rio et al.
Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives
published pages: , ISSN: , DOI: 10.5281/zenodo.3676692
|IEEE/RSJ International Conference on Intelligent Robots and Systems 2019||2020-04-01|
Alessandro Albini, Giorgio Cannata
Pressure distribution classification and segmentation of human hands in contact with the robot body
published pages: 27836492090768, ISSN: 0278-3649, DOI: 10.1177/0278364920907688
|The International Journal of Robotics Research||2020-04-01|
Konstantinos Vlachos, Zoe Doulgeri
A Control Scheme With a Novel DMP-Robot Coupling Achieving Compliance and Tracking Accuracy Under Unknown Task Dynamics and Model Uncertainties
published pages: 2310-2316, ISSN: 2377-3766, DOI: 10.1109/lra.2020.2970985
|IEEE Robotics and Automation Letters 5/2||2020-04-01|
Sidiropoulos, Antonis; Karayiannidis, Yiannis; Doulgeri, Zoe
Human-robot collaborative object transfer using human motion prediction based on Dynamic Movement Primitives
published pages: , ISSN: , DOI: 10.5281/zenodo.2611333
|2019 18th European Control Conference (ECC) 1||2020-04-01|
Emmanuel Pignat, Sylvain Calinon
Bayesian Gaussian Mixture Model for Robotic Policy Imitation
published pages: 4452-4458, ISSN: 2377-3766, DOI: 10.1109/lra.2019.2932610
|IEEE Robotics and Automation Letters 4/4||2020-04-01|
Macovetchi, Ana-Maria; Parizi, Mohammad Shahabeddini; Kirstein, Franziska
Formulating User Requirements for Designing Collaborative Robots
published pages: , ISSN: , DOI: 10.5281/zenodo.3666189
|The 28th IEEE International Conference on Robot & Human Interactive Communication (Ro-MAN) 1||2020-04-01|
Koutras, Leonidas; Doulgeri, Zoe
Dynamic Movement Primitives for moving goals with temporal scaling adaptation
published pages: , ISSN: , DOI: 10.5281/zenodo.3635299
|2020 International Conference on Robotics and Automation (ICRA) 1||2020-04-01|
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The information about "COLLABORATE" are provided by the European Opendata Portal: CORDIS opendata.
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