centre of operations for rethinking engineering

Funded by the P2020 programme Ref.: CENTRO-01-0247-FEDER-037082


Designação do Projeto

CORE .: Centro de Operações para Repensar a Engenharia


Código do Projeto



Ficha do Projeto

CORE is Ingeniarius' R&D centre, integrating experts from both University of Coimbra and the Polytechnic Institute of Coimbra.


"Share your knowledge. It’s a way to achieve immortality."

Dalai Lama



University of Coimbra

principal investigator











Polythecnical institute of Coimbra

principal investigator




maria antónio castro

Polythecnical institute of Coimbra



antónio figueiredo

University of Coimbra


nuno ferreira

Polythecnical institute of Coimbra

gonçalo S. martins


filipe Pinto




André Araújo

University of Coimbra


david portugal

University of Coimbra


joão aguizo

Polythecnical institute of Coimbra



joel marouvo

Polythecnical institute of Coimbra



josé afonso

Polythecnical institute of Coimbra


CORE follows the activities promoted by Ingeniarius, whose motto has been “Thinking Beyond Engineering”, reflecting the key element of innovation and research promoted by the academic partners, pouring into disruptive proofs-of-concept, which aims for the industrial and commercial exploitation of knowledge associated with new technologies, with particular focus on Intelligent Systems and Robotics and Sports Engineering and Health Technologies.

This research focuses on Soccer Wearable Technologies as a promising field in scientific, technological, and economic aspects. This research deals with different approaches from several perspective. For the scientific viability, it namely treats the development and the interest of the scientific community in this technology, in addition to the technological aspect in which it evaluates the hardware and software tools that are available. Concerning the economic viability, it demonstrates the interest of economic players and potential investment for future interests.


This research intends to demonstrate the feasibility and technological prospect of serious games and mixed reality for future scientific aspects, mainly exploring mixed reality technologies, providing important definitions and scientific background, In addition to the technological aspect in which the software and hardware solutions related to the field of study are treated , The economic in the viability section briefly approaches some markets prospects regarding Mixed Reality Technologies and serious games, while searching for key players.

This CORE component focuses on perception techniques for field robots, namely MoDSeM. MoDSeM is a software framework for spatial perception supporting teams of robots, aiming to create a semantic map able to represent all spatial information perceived by teams of field robots. Preliminary experiments took place in a 100x100x100m simulated map to demonstrate our prototype’s ability to receive, store and retrieve spatial information. Results show promising performance in all aspects of the task, supporting future developments.

This CORE component focuses in aquatic robotic technologies, mainly in multi-robot systems cooperation for several applications, such as water quality monitoring, mapping and localization, underwater infrastructure surveys.


1.  Martins, G. S., Ferreira, J. F., Portugal, D., & Couceiro, M. S. (2019). MoDSeM: Modular Framework for Distributed Semantic Mapping. The 2nd UK-RAS Conference for PhD Students & Early-Career Researchers on Embedded Intelligence.


2. Martins, G. S., Ferreira, J. F., Portugal, D., & Couceiro, M. S. (2019). MoDSeM : Towards Semantic Mapping with Distributed Robots. 20th Towards Autonomous Robotic Systems Conference (TAROS).


3.  Rodrigues, A. C. N., Pereira, A. S., Mendes, R. M. S., Araújo, A. G., Couceiro, M. S., & Figueiredo, A. J. (2020). Using Artificial Intelligence for Pattern Recognition in a Sports Contect. Sensors, 20(11), 3040.


4.  Portugal, D., Ferreira, J. F., & Couceiro, M. S. (2020, September). Requirements specification and integration architecture for perception in a cooperative team of forestry robots. In Annual Conference Towards Autonomous Robotic Systems (pp. 329-344). Springer, Cham.


5.  Andrada, M. E., De Castro Cardoso Ferreira, J., Portugal, D., & Couceiro, M. (2020). Testing different CNN architectures for semantic segmentation for landscaping with forestry robotics. IROS 2020 Workshop on Perception, Planning and Mobility in Forestry Robotics (WPPMFR 2020), 25-29 October, 2020.


6.  Araújo, D., Couceiro, M. S., Seifert, L., Sarmento, H., Davids, K. Artificial Intelligence in Sport Performance Analysis (1st Edition). Routledge, April 20 2021 (Forthcoming), ISBN 9780367254377.


7.  Yalcinkaya, B., Aguizo, J., Couceiro, M., & Figueiredo, A. (2021, May). A Multimodal Tracking Approach For Augmented Reality Applications. In 12th Augmented Human International Conference (pp. 1-8).


8.  Portugal, D., Andrada, M. E., Araújo, A. G., Couceiro, M. S., & Ferreira, J. F. (2021). ROS Integration of an Instrumented Bobcat T190 for the SEMFIRE Project. In Robot Operating System (ROS) (pp. 87-119). Springer, Cham.


9.  Andrada, M. E., Ferreira, J. F., Portugal, D., & Couceiro, M. S. (2022). Integration of an Artificial Perception System for Identification of Live Flammable Material in Forestry Robotics. In 2022 IEEE/SICE International Symposium on System Integration (SII) (pp. 103-108). IEEE.





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