ALMA – Human Centric Algebraic Machine Learning

Periodo: 2020-2024

The aim of the EU-funded ALMA project is to leverage AML properties to develop a new generation of interactive, human-centric machine learning systems. These systems are expected to reduce bias and prevent discrimination, remember what they know when they are taught something new, facilitate trust and reliability and integrate complex ethical constraints into human–artificial intelligence systems. Furthermore, they are expected to promote distributed, collaborative learning.

Periodo: 2021-2023

FlexiGrobots is an Innovation Action aiming to build a platform for flexible heterogeneous multi-robot systems for intelligent automation of precision agriculture operations, providing multiple benefits to farmers around the world.

Periodo: 2019-2022

ROBOMINERS’ innovative approach combines the creation of a new mining ecosystem with novel ideas from other sectors, in particular with the inclusion of disruptive concepts from robotics. The use of the robot miner will especially be relevant for mineral deposits that are small or difficult to access. This covers both abandoned, nowadays flooded mines, that are not accessible anymore for conventional mining techniques, or places that have formerly been explored but whose exploitation was considered as uneconomic due to the small size of the deposits or the difficulty to

Periodo: 2020-2022

WeLASER aims to merge current technologies to build, assess and push into the market a precision weeding system based on high-power laser sources and autonomous mobile systems with the main objective of eliminating the use of herbicides while improving productivity and competitiveness.

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Periodo: 2020-2022

LABYRINTH will contribute to a safer, more efficient and sustainable civil road, rail, air and waterborne transport with new centralized planification systems capable of communicating with all the drones in a certain area, processing their desired origin and destination points and compute paths to avoid collisions. within the SESAR strategy through the development of autonomous air traffic control systems towards the integration of drones into European airspace.

Periodo: 2017-2020

The HORIZON 2020 project BADGER (Robot for Autonomous underground trenchless operations, mapping and navigation) is one of the few funded projects in the last LEIT ICT 25 2016 Call (7,4% of success). The RoboticsLab of the University Carlos III of Madrid (ES) leads the project with the following partners: University of Glasgow (UK), CERTH (GR), IDS Geo (I), SingularLogic (GR), Tracto Technik (D), ROBOTNIK (ES). The main objective of the project is the design and development of the autonomous underground robotic system that can drill, manoeuvre, localise, map and navigate

STAMS
Long Term Stability Assessment and Monitoring of Flooded Shafts

Periodo: 2015-2017

The main objective of the EU project STAMS is to develop robotic inspection technologies to monitor and assess the stability of flooded shafts over 2 km deep during long periods of time. This objective will be achieved taking periodic and continuous measurements.

For the continuous measures, a sensor network will be installed along the shaft, and a robot for fixing the sensors will be developed. All the changes and measures will be analyzed in real time, and in situ with a software control

TIRAMISU
Toolbox implementation for removal of anti-personnel mines, submunitions and UXO

Periodo: 2012-2016

Anti-personnel landmines and unexploded ordnance (UXOs) present an important obstacle to the transition from crisis to peace for war-affected countries. They threaten post-conflict development and welfare. The objective of the TIRAMISU project is to provide the Mine Action community with a toolbox to assist in addressing the many issues related to Humanitarian Demining, thus promoting peace, national and regional security, conflict prevention, social and economic rehabilitation and post-conflict reconstruction. The tools in development are divided into three main categories:

1)    Demining

ROBOSPECT
Robotic system with intelligent vision and control for tunnel structural inspection and evaluation

Periodo: 2013-2016

ROBOSPECT, driven by the tunnel inspection industry, adapts and integrates recent research results in intelligent control in robotics, computer vision tailored with semisupervised and active continuous learning and sensing, in an innovative, integrated, robotic system that automatically scans the intrados for potential defects on the surface and detects and measures radial deformation in the cross-section, distance between parallel cracks, cracks and open joints that impact tunnel stability, with mm accuracies. This permits, in one pass, both the

STAMAS

Smart technology for artificial muscle applications in space

Periodo: 2013-2016

The STAMAS consortium has identified the need for developing a new type of astronauts’ suit, a “smart-suit”. The project will utilise existing experience in sma/eap, and built upon this knowledge to develop an effective solution for usage in space.