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Activity Funded

INSTITUTE OF SYSTEMS AND ROBOTICS - ISR - COIMBRA

INSTITUTO DE SISTEMAS E ROBÓTICA - ISR - COIMBRA

Reference
UID/00048/2025
Project Start Date
2025-01-01
Project End Date
2029-12-31
Principal Investigator
Scientific Area
Engineering and technology
Funding Program
Avaliação UID 2023/2024

Abstract

ISR-UC develops activities in the following areas: 1) ADVANCED MATERIALS& SENSORS The main research stream of this area is development and characterization of novel materials and fabrication techniques for printed and thin-film electronics and soft-matter electronics. This team has demonstrated applications of these circuits in smart plastics and textile, health monitoring including biomonitoring patches that already reached to the clinical pilot stage, and more demanding applications for implantable electronics. The research area is already counting with a EuropeanResearch Council ERC-Consolidator grant (2023-2027), and implemented 3 laboratories of material synthesis, digital fabrication, and Electron Microscopy and Characterization. 2) ROBOTICS AND ARTIFICIAL INTELLIGENT SYSTEMS (RAIS) Research in RAIS covers theoretical advancements and practical applications: -Enhancing reliability of deep-learning architectures, with probabilistic explainability, for safety-critical applications; -Resilient sensory perception in extreme conditions; -Developing efficient algorithms for applications in Robotics, Machine Learning, and AI; -Exploring human-centered robotics/systems; -Advancing medical minimally invasive robotics for surgery, diagnosis, and rehabilitation; -Path planning for long-term operation; -Addressing complexities in industrial processes through self-learning and adaptation. 3) PERCEPTUAL AND COGNITIVE SYSTEMS The research in this area covers: -Biometrics: novelties in learning architectures and the improvement of the several facial recognition systems; -Improvement of the security of visual content: achieving good accuracy in printer-proof steganography with applications in the security of ID documents; - Analysis of endoscopic imagery for computer assisted surgery and diagnosis; - Analysis of images from capsule endoscopy for computer assisted diagnosis; - Analysis of images from deformable objects; - Solutions to incorporate causality and counterfactual inference principles in deep learning to enhance their interpretability, namely, Causal Representation Learning, Counterfactual Learning and Knowledge Distillation. 4) SUSTAINABLE ENERGY SYSTEMS In Sustainable Energy Systems, the main global objectives deal with advanced energy-efficient technologies, as well as renewable and energy storage technologies in the scope of industrial and building systems, and electric vehicles. The activities are mainly focused on: -Energy Efficient Technologies including the development and assessment of energy-efficient technologies, such as advanced motors and drives, optimization of electrical systems and eco-design of energy-related products -Renewables and Smart Grids including the design of smart grid architectures and microgrids, monitoring and control systems, as well as prediction and optimization of distributed energy resources.

Institutions

Main Institutions

  • Universidade de Coimbra Instituto de Sistemas e Robótica (ISR-UC)
  • Instituto de Sistemas e Robótica (ISR)

Funding 1.914.352,15 €

Fundação para a Ciência e a Tecnologia (FCT) - Portugal

1.914.352,15 €