Research Project

TERRINET: The European robotics research infrastructure network

Type

European Project

Start Date

01/12/2017

End Date

30/11/2022

Project Code

H2020-INFRAIA-2017-1-730994

Project illustration

Staff

Project Description

Website: https://www.terrinet.eu/infrastructures/upc-iri/

After a few decades of intense research and development, Robotics has produced radical innovation and impact in many sectors (manufacturing, space, medicine…). In addition Robotics has generated novel scientific and engineering knowledge. This is due to the unique nature of Robotics, that has evolved from a predominantly engineering-oriented domain, to a transdisciplinary area including and inspiring many different disciplines. Europe is an undisputed leader in Robotics: it has nurtured a large community of researchers, educated many thousand students, created large and small companies, and established advanced facilities for conducting scientific research and contributing to technological innovation. However, despite of significant efforts and achievements, the existing Robotics facilities are not fully synchronized, and lack common procedures, thus hampering their enormous potential for world class research and innovation. Creating a Robotics Research Infrastructure is realistic, timely and essential in the current and future landscape of Robotics. The European Robotics Research Infrastructures Network (TERRINet) project aims at building a world-class network with harmonised services and complementary capabilities where talented researchers from academia and industry worldwide will have access and will be able to explore new ideas and establish personal and joint projects; to get in contact with and be inspired by leading and creative scientists, technologists, experts and industrial representatives; to share information and gain knowledge for boosting their scientific research and potential for technological innovation. The plan of TERRINet is to accomplish its vision by providing not only an organised and well orchestrated set of facilities, but also databases, tools and methodologies which will remain operational after the end of the project, so to provide a long-term service to Robotics science and industry in Europe and worldwide.

Project Publications

Journal Publications

  • M. Dalmasso, J.E. Domínguez, I.J. Torres, P. Jiménez, A. Garrell Zulueta and A. Sanfeliu. Shared task representation for human–robot collaborative navigation: The collaborative search case. International Journal of Social Robotics, 16: 145-171, 2024.

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  • E. Repiso, A. Garrell Zulueta and A. Sanfeliu. Adaptive social planner to accompany people in real-life dynamic environments. International Journal of Social Robotics, 2023, to appear.

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  • W.O. Chamorro, J. Solà and J. Andrade-Cetto. Event-based line SLAM in real-time. IEEE Robotics and Automation Letters, 7(3): 8146-8153, 2022.

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  • J. Solà, J. Vallvé, J. Casals, J. Deray, M. Fourmy, D. Atchuthan, A. Corominas Murtra and J. Andrade-Cetto. WOLF: A modular estimation framework for robotics based on factor graphs. IEEE Robotics and Automation Letters, 7(2): 4710-4717, 2022.

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  • E. Repiso, A. Garrell Zulueta and A. Sanfeliu. Adaptive side-by-side social robot navigation to approach and interact with people. International Journal of Social Robotics, 12: 909-930, 2020.

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  • E. Repiso, A. Garrell Zulueta and A. Sanfeliu. People's adaptive side-by-side model evolved to accompany groups of people by social robots. IEEE Robotics and Automation Letters, 5(2): 2387-2394, 2020.

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Conference Publications

  • J. Laplaza, N.A. Rodríguez, J.E. Domínguez, F. Herrero, S. Hernández, A. López, A. Sanfeliu and A. Garrell Zulueta. IVO Robot: A new social robot for Human-Robot collaboration, 2022 ACM/IEEE International Conference on Human-Robot Interaction, 2022, Sapporo, Japan, pp. 860–864.

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  • A.M. Puig-Pey, A. Sanfeliu, C. Leroux, P. Dario, R. Rasso, B.C. Arrue, P. Soueres, F. Dailami, V. Vasco, M. Munih, A. Ijspeert and W. Roozing. A new methodological approach to analyze human roles in human-robot interaction scenarios, 2022 IEEE International Conference on Advanced Robotics and Its Social Impacts, 2022, Long Beach (CA), pp. 1-6, IEEE.

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  • M. Dalmasso, A. Garrell Zulueta, J.E. Domínguez, P. Jiménez and A. Sanfeliu. Human-robot collaborative multi-agent path planning using Monte Carlo tree search and Social Reward Sources, 2021 IEEE International Conference on Robotics and Automation, 2021, Xian, China, pp. 10133-10138.

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  • A. Pumarola, S. Popov, F. Moreno-Noguer and V. Ferrari. C-Flow: Conditional generative flow models for images and 3D point clouds, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, Seattle, WA, USA (Virtual), pp. 7946-7955.

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  • M. Dalmasso, A. Garrell Zulueta, P. Jiménez and A. Sanfeliu. Human-robot collaborative navigation search using social reward sources, 4th Iberian Robotics Conference, 2019, Porto, Portugal, Vol 1093 of Advances in Intelligent Systems and Computing, pp. 84-95, Springer.

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