PROJECT

FEATURED PROJECTS

TAILOR

TAILOR (Training the next generation of researchers that will bring rehab robots to clinical practice) is a Marie Skłodowska-Curie Doctoral Network focused on revolutionizing rehabilitation robotics for neurological conditions. By creating innovative frameworks that enhance therapist-robot-patient collaboration, TAILOR aims to make rehabilitation more efficient, engaging, and effective.

Aerialist

AERIALIST aims to revolutionize assistive health technology by developing intelligent, safe, and adaptive solutions that enhance healthcare outcomes and quality of life. By integrating cutting-edge machine learning and human-centered design, the project addresses limitations in current technologies, ensuring greater reliability and autonomy in real-world scenarios. The project’s ultimate goal is to create next-generation assistive technologies that improve diagnoses, treatments, and accessibility, promoting equity in daily life.

AI Bridge

AI-Bridge harnesses artificial intelligence to tackle two critical health challenges: Cerebral Palsy in children and trypanosome infections in tropical regions. By creating personalized treatments through AI analysis, the project develops adaptive robotic therapy for toddlers with CP while identifying new drug targets for parasitic diseases. Through open-source tools and global partnerships, ADAPT aims to transform care for vulnerable populations worldwide.

SHEREK

The primary goal of the SHEREC project is to significantly enhance occupational health and safety conditions in the ship recycling industry. By integrating innovative robotic, big data, and artificial intelligence systems, as well as developing related applications, we aim to not only revolutionize the sector but also contribute to the improvement of both professional and environmental standard-

AIRSHIP

AIRSHIP envisions an innovative use of a known transportation mean: flying ships. Such vehicles (also known as ekranoplans or wing-in-ground -WIG vehicles) inherit all the advantages of conventional airborne transportation, while being more energy efficient and environmentally friendly, both from the carbon footprint and the acoustic noise pollution point of view. AIRSHIP aims to lay the foundations of a new class of fully electrical unmanned aircraft system, the UWV (Unmanned WIG Vehicle) that brings together speed, flexibility and energy efficiency.

DARKWIN

DARkWIN’s concept integrates both the classical human eye selecting the healthiest genotypes under stressful environments (where darkener/greener plants are usually selected: DARk-plants win), and the darWINian pollinator bee vision where the most rewarding flowers from the healthiest plants will be naturally selected.

TRIDENT

TRIDENT will create new technological tools for deep-sea impact assessment. These new tools will empower a shared responsibility to supervise and monitor deep sea activities, and simultaneously preserve and enhance marine habitats, supporting an environmentally sustainable blue economy.

AGROSUS

AGROSUS project idea has been built gathering the different approaches from both academia and farmers with the aim of covering the needs for a more agroecological agriculture in the EU and reducing the impact of external inputs in the field.

EXTRA-BRAIN

The main mission of EXTRA-BRAIN is to develop, validate and deploy new optimised artificial intelligence (AI) solutions based on scalable brain-like neural networks. To this end, the project exploits a brain-like AI approach that builds upon the growing under- standing how neural information is processed in the brain to support its rich functionality, e.g. in perception and cognition.

FLEXIGROWBOTS

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.

WIMOBO

Wildlife monitoring bots (WIMOBO) is a research project funded by the Spanish national research council (csic) to support scientific research towards the achievement of the sustainable development goals (sdgs). The goal of this project is to demonstrate experimentally, through a proof of concept, the advantages of using robots operating in different domains to improve the quality of environmental data collection, in particular, for data collection of greenhouse gasses (ghgs), and to conduct a population census of the pampas deer, in the argentinean national park campos del tuyú (ramsar site) where one of its last populations is endangered.

SEAWINGS

Fast deployment and intervention at sea are critical in several defence scenarios and manned and unmanned aerial vehicles are commonly used for quick reconnaissance and response in these situations. The development of autonomous vehicles that bring together speed, flexibility and energy efficiency is, therefore, of critical importance. SEAWINGS proposes the development of wing-in-ground effect vehicles (WIG vehicles) designed to increase strategic preparedness and to perform defence-related operations and missions in the sea/air interface in Europe.

DISTRIMUSE

DistriMuSe intends to support human health and safety by improved sensing of human presence, behaviour and vital signs in a collaborative or common environment by means of multi-sensor systems, distributed processing and machine learning.

MOONSHOT

This project aims to explore a system for early diagnosis of diseases, reliable monitoring of their severity and appropriate PES-based interventions the measurement of daily behaviours. In particular, in the two years, the plan is to develop a system that estimates the condition of a diseases (MS, PD) during regular walking using sensorised shoes embedded with three miniaturised six-axis force sensors, and to build a PES model as a neuromodulation technique to guide activity-dependent plasticity as a treatment for abnormal gait in PD. By combining these, the system proposes to provide appropriate stimulation and to test its effectiveness on several PD patients.

ROBOMINERS

ROBOMINERS is a project funded under the European Union’s Research and Innovation programme Horizon 2020 (grant agreement n°820971) with the strategic objective to facilitate EU access to mineral raw materials. 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.

WELASER

WeLASER is a European innovation project funded within its Horizon-2020 program. WeLASER aims to merge current technologies to build, assess and push into the market a precision weeding equipment 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; such a system would eradicate health risks and environmental adverse effects associated with the use of herbicides.

SMARTWeeding

Los avances alcanzados en los proyectos previos en el grupo GPA en materia de gestión de malas hierbas utilizando nuevas tecnologías han motivado el diseño de este proyecto coordinado, buscando la complementariedad de las líneas de investigación de un consorcio multidisciplinar para aportar soluciones agronómicas y tecnológicas dirigidas a la gestión selectiva, localizada e inteligente de malas hierbas y al manejo integral de los cultivos en el marco de la transformación digital de la agricultura.

UNEXUP

The UNEXUP project, funded under EIT RawMaterials, is a direct continuation of the Horizon 2020 UNEXMIN project. While in UNEXMIN efforts were made towards the design, preparation and testing of an innovative exploration technology for underground flooded mines, in UNEXUP the objective is to launch the technology into the market, while further improving the system’s hardware, software and capabilities.

UNEXMIN

UNEXMIN is an EU-funded Horizon 2020 project that developed a novel robotic system for the autonomous exploration and mapping of Europe’s flooded mines. The Robotic Explorer platforms uses non-invasive methods for autonomous 3D mine mapping for gathering valuable geological, mineralogical and spatial information. This can open new exploration scenarios so that strategic decisions on the re-opening of Europe’s abandoned mines can be supported by actualised data that cannot be obtained by any other ways, without major costs and/or risks.

HAL4SDV

The HAL4SDV project’s mission is to advance European solutions in software-defined next-generation vehicles. By focusing on unifying software interfaces and development methodologies, HAL4SDV will enable software configuration that abstracts from vehicle hardware, paving the way for a “software-defined vehicle (SDV)” approach for both safety-critical and non-safety-critical applications in future vehicles.

DACWEED

DACWEED project has received funding from the European Union’s EIT Food Research and Innovation programme under grant agreement nª 20140, withing its strategic objective to make the food system more sustainable, healthy and trusted. The increasing public concern about food security and the stricter rules applied word wide concerning herbicide residues in the agri-food chain, reduce consumer acceptance of chemical plant protection. GPA group will implement together and combine novel components that already exist on the market in order to site-specifically regulate mechanical weed control and perform site-specific herbicide applications.

inGAIT

Cerebral Palsy (CP) is the predominant cause of physical disability in childhood. With inGAIT project, we aim to go beyond the conventional methods of CP rehabilitation by investigating the expansion of novel technologies to daily-life. Our motivation for this research is to improve the quality of life of children with CP and similar motor disorders.

ShapeFuture

ShapeFuture will drive innovation in fundamental Electronic Components & Systems (ECS) that are essential for robust, powerful, fail-operational & integrated perception, cognition, AI-enabled decision making, resilient automation, computing, & communications, for highly automated vehicles.

METATOOL

Understanding the past to create the future. The MetaTool project aims to understand how cognition evolved to allow for tool invention and creation to serve as the basis for developing future technologies.