ABEM: African Biomedical Engineering Mobility

The African Biomedical Engineering Mobility (ABEM) project is funded by the Intra-Africa Academic Mobility Scheme of the Education, Audiovisual and Culture Executive Agency of the European Commission. The scheme is modelled on Europe’s well-established and successful Erasmus-Mundus programme.

ILIAD - Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces

Today, intralogistic services have to respond to changing market needs, unforeseeable trends and shorter product life cycles. Intralogistic systems have be flexible, reliable, self-optimising, quickly deployable and safe yet efficient in environments shared with humans. ILIAD will enable the transition to automation of intralogistic services with key stakeholders from the food distribution sector.

UBORA - Euro-African Open Biomedical Engineering e-Platform for Innovation through Education

The project aims at creating an EU-Africa e-Infrastructure, UBORA, for open source co-design of new solutions to face the current and future healthcare challenges of both continents, by exploiting networking, knowledge on rapid prototyping of new ideas and sharing of safety criteria and performance data. The e-Infrastructure will foster advances in education and the development of innovative solutions in Biomedical Engineering (BME), both of which are flywheels for European and African economies.

NEVERMIND - NEurobehavioral predictiVE and peRsonalized Modeling of depressIve symptoms duriNg primary somatic Disorders through ICT-enabled, self-management procedures

Personal health systems for the management of chronic diseases have seen giant leaps in development over recent years. These systems offer vital sign monitoring and therapy delivery at home, focusing on the primary physical disease conditions. However, they do not provide support for early mood assessment or psychological treatment and lack a real-time comprehensive assessment of the patient’s mental status.

WiMUST - Widely scalable Mobile Underwater Sonar Technology

WiMUST (Widely scalable Mobile Underwater Sonar Technology) aims at conceiving and designing an intelligent team of cooperative autonomous marine robots, acting as intelligent sensing and communicating nodes of a reconfigurable moving acoustic network, that could drastically improve the efficacy of the methodologies used to perform geophysical and geotechnical acoustic surveys at sea.

SoMa - Soft-bodied intelligence for Manipulation

Soft Manipulation (SOMA) is the key for the development of simple, compliant, yet strong, robust, and easy-to-program manipulation systems. SOMA explores a new avenue of robotic manipulation, exploiting the physical constraints imposed by the environment to enable robust grasping and manipulation in dynamic, open, and highly variable contexts. 

Real-time Monitoring of Cardiovascular Functions Using Textile-Based Wearable Systems and Probabilistic Point-Process Modeling

Wearable systems and embedded sensors for physiological monitoring have been gaining large interest over the last decade in research and commercial fields. The key benefits introduced by these systems include their small size, lightness, low-power consumption and wearability. Major applications of such systems are related to medicine and healthcare allowing for out-patient care and enhancing the quality of life for chronic disease patients, and preventing unnecessary hospitalizations.

OS4BME Africa Project

OS4BME (Open Source for Biomedical Engineering) was conceived at the Research Center E. Piaggio of University of Pisa and FabLab Pisa by Arti Ahluwalia (Professor of Bioengineering), Daniele Mazzei and Carmelo De Maria (Biomedical Engineers, co-founders of FabLab Pisa and researchers at the Center).

PACMAN - Probabilistic and Compositional Representations of Objects for Robotic Manipulation

The aim of the project is to advance technologies for, and understand the principles of cognition and control in complex systems. We will meet this challenge by advancing methods for object perception, representation and manipulation so that a robot is able to robustly manipulate objects even when those objects are unfamiliar, and even though the robot has unreliable perception and action. The proposal is founded on two assumptions.