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SECURE

Safety Enables Cooperation in Uncertain Robotic Environments

Total Cost €

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EC-Contrib. €

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Partnership

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Project "SECURE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET HAMBURG 

Organization address
address: MITTELWEG 177
city: HAMBURG
postcode: 20148
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 Germany [DE]
 Project website https://secure-robots.eu/
 Total cost 3˙106˙495 €
 EC max contribution 3˙106˙495 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2014
 Funding Scheme MSCA-ITN-ETN
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2019-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET HAMBURG DE (HAMBURG) coordinator 740˙726.00
2    THE UNIVERSITY OF HERTFORDSHIRE HIGHER EDUCATION CORPORATION UK (HATFIELD) participant 546˙575.00
3    FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA IT (GENOVA) participant 516˙122.00
4    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 498˙432.00
5    UNIVERSITY OF PLYMOUTH UK (PLYMOUTH) participant 447˙888.00
6    DANIELI TELEROBOT LABS S.R.L. IT (GENOVA) participant 258˙061.00
7    THE UNIVERSITY OF MANCHESTER UK (MANCHESTER) participant 98˙687.00

Map

 Project objective

The majority of existing robots in industry are pre-programmed robots working in safety zones, with visual or auditory warning signals and little concept of intelligent safety awareness necessary for dynamic and unpredictable human or domestic environments. In the future, novel cognitive robotic companions will be developed, ranging from service robots to humanoid robots, which should be able to learn from users and adapt to open dynamic contexts. The development of such robot companions will lead to new challenges for human-robot cooperation and safety, going well beyond the current state of the art. Therefore, the SECURE project aims to train a new generation of researchers on safe cognitive robot concepts for human work and living spaces on the most advanced humanoid robot platforms available in Europe. The fellows will be trained through an innovative concept of project-based learning and constructivist learning in supervised peer networks where they will gain experience from an intersectoral programme involving universities, research institutes, large and SME companies from public and private sectors. The training domain will integrate multidisciplinary concepts from the fields of cognitive human-robot interaction, computer science and intelligent robotics where a new approach of integrating principles of embodiment, situation and interaction will be pursued to address future challenges for safe human-robot environments.

 Deliverables

List of deliverables.
Scientific publications Other 2020-03-20 09:30:11
Press releases to media Documents, reports 2020-03-20 09:30:11
Training events Other 2020-03-20 09:30:11
Project website Websites, patent fillings, videos etc. 2020-03-20 09:30:10
Mid Term review meeting Documents, reports 2020-03-20 09:30:10
Progress Report Documents, reports 2020-03-20 09:30:10
Proceedings of Int. SECURE Conference Documents, reports 2020-03-20 09:30:11
Proceedings of SECURE PhD Conference Documents, reports 2020-03-20 09:30:11
Training material for network-wide training Documents, reports 2020-03-20 09:30:11

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

 Publications

year authors and title journal last update
List of publications.
2018 Tobias Fischer, Jordi-Ysard Puigbò, Daniel Camilleri, Phuong D. H. Nguyen, Clément Moulin-Frier, Stéphane Lallée, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Paul F. M. J. Verschure
iCub-HRI: A Software Framework for Complex Human–Robot Interaction Scenarios on the iCub Humanoid Robot
published pages: , ISSN: 2296-9144, DOI: 10.3389/frobt.2018.00022
Frontiers in Robotics and AI 5 2020-03-20
2018 Clement Moulin-Frier, Tobias Fischer, Maxime Petit, Gregoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, Hyung Jin Chang, Martina Zambelli, Anne-Laure Mealier, Andreas Damianou, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Peter Ford Dominey, Paul F. M. J. Verschure
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
published pages: 1005-1022, ISSN: 2379-8920, DOI: 10.1109/TCDS.2017.2754143
IEEE Transactions on Cognitive and Developmental Systems 10/4 2020-03-20
2018 Zamani, M.A., Beik-Mohammadi, H., Kerzel, M., Magg, S., Wermter, S
Learning Spatial Representation for Secure Human-Robot Collaboration in Joint Manual Tasks
published pages: , ISSN: , DOI:
Proceedings of ICRA workshop on the WORKplace is better with intelligent, collaborative, robot MATEs (WORKMATE) 2020-03-20
2018 Mohammad Ali Zamani, Sven Magg, Cornelius Weber, Stefan Wermter, Di Fu
Deep reinforcement learning using compositional representations for performing instructions
published pages: 358-373, ISSN: 2081-4836, DOI: 10.1515/pjbr-2018-0026
Paladyn, Journal of Behavioral Robotics 9/1 2020-03-20
2018 Chandrakant Bothe, Sven Magg, Cornelius Weber, Stefan Wermter
Conversational Analysis Using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
published pages: 996-1000, ISSN: , DOI: 10.21437/interspeech.2018-2527
Interspeech 2018 2020-03-20
2019 Wansoo Kim, Marta Lorenzini, Pietro Balatti, Phuong D.H. Nguyen, Ugo Pattacini, Vadim Tikhanoff, Luka Peternel, Claudio Fantacci, Lorenzo Natale, Giorgio Metta, Arash Ajoudani
Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity
published pages: 14-26, ISSN: 1070-9932, DOI: 10.1109/mra.2018.2890460
IEEE Robotics & Automation Magazine 26/3 2020-03-20
2018 Hadi Beik-Mohammadi, Matthias Kerzel, Michael Görner, Mohammad Ali Zamani, Manfred Eppe, Stefan Wermter
Neural End-to-End Learning of Reach for Grasp Ability with a 6-DoF Robot Arm
published pages: , ISSN: , DOI:
Proceedings of IROS 2018 Workshop on Machine Learning in Robot Motion Planning 2020-03-20
2018 Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay, Michael L. Walters
The impact of peoples’ personal dispositions and personalities on their trust of robots in an emergency scenario
published pages: 137-154, ISSN: 2081-4836, DOI: 10.1515/pjbr-2018-0010
Paladyn, Journal of Behavioral Robotics 9/1 2020-03-20
2019 Busch, Baptiste ; Cotugno, Giuseppe ; Khoramshahi, Mahdi ; Skaltsas, Grigorios ; Turchi, Dario ; Urbano, Leonardo ; Wächter, Mirko ; Zhou, You ; Asfour, Tamim ; Deacon, Graham ; Russel, Duncan ; Billard, Aude
Evaluation of an Industrial Robotic Assistant in an Ecological Environment
published pages: , ISSN: , DOI:
Proceedings of the IEEE RoMan Converence 2019 2020-03-20
2019 Chandrakant Bothe, Stefan Wermter
MoonGrad at SemEval-2019 Task 3: Ensemble BiRNNs for Contextual Emotion Detection in Dialogues
published pages: 261-265, ISSN: , DOI: 10.18653/v1/s19-2044
Proceedings of the 13th International Workshop on Semantic Evaluation 2020-03-20
2018 Egor Lakomkin, Sven Magg, Cornelius Weber, Stefan Wermter
KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos
published pages: 90-95, ISSN: , DOI: 10.18653/v1/d18-2016
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations 2020-03-20
2019 Mohammad Thabet, Angelo Cangelosi
Sample-efficient deep reinforcement learning with imaginary rollouts for human-robot interaction
published pages: , ISSN: , DOI:
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020-03-20
2017 Lakomkin, E., Weber, C., Wermter, S.
Automatically augmenting an emotion dataset improves classification using audio
published pages: , ISSN: , DOI:
15th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 2020-03-20
2017 Bothe, C., Magg, S., Weber, C., Wermter, S.
Dialogue-based neural learning to estimate sentiment of next upcoming utterance
published pages: 477-486, ISSN: , DOI:
Artificial Neural Networks and Machine Learning – ICANN 2017 LNCS vol. 10614 2020-03-20
2017 Rossi, A., Dautenhahn, K., Koay, K. L., & Saunders, J.
Investigating Human Perceptions of Trust in Robots for Safe HRI in Home Environments
published pages: 375-376, ISSN: , DOI: 10.1145/3029798.3034822
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction 2020-03-20
2017 Lakomkin, E., Magg, S., Weber, C., Wermter, S.
Reusing speech representations for auditory emotion recognition
published pages: , ISSN: , DOI:
Artificial Neural Networks and Machine Learning – ICANN 2017 LNCS vol. 10614 2020-03-20
2016 Charbonneau, M., Nori, F., Pucci, D.
On-line joint limit avoidance for torque controlled robots by joint space parametrization
published pages: 899-904, ISSN: , DOI: 10.1109/HUMANOIDS.2016.7803379
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids) 2020-03-20
2017 Zamani, M.A., Magg, S., Weber, C., and Wermter, S.
Deep Reinforcement Learning using Symbolic Representation for Performing Spoken Language Instructions.
published pages: , ISSN: , DOI:
In 2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics (BAILAR) in the 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). 2020-03-20
2017 Lakomkin, E., Bothe, C., Wermter, S.
GradAscent at EmoInt-2017: Character- and Word-Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection
published pages: , ISSN: , DOI:
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2020-03-20

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