Urban areas, due to their high population density, intensive infrastructure,
and concentrated economic activities, are responsible for approximately
70% of global greenhouse gas (GHG) emissions and consume around 65%
of the world’s total energy. In this context, Renewable Energy
Communities (RECs) have emerged as an innovative and decentralized
solution capable of reducing the environmental impact of cities by
enabling local production, consumption, and sharing of clean energy.
Today, vineyard pruning still relies heavily on skilled human labor. To address this, an increasing number of research initiatives are exploring the transition from traditional manual practices to fully autonomous robotic systems. The VinPRO project contributes to this effort by developing an integrated robotic pruning platform composed of a custom-designed gripper for vineyard environments, an advanced computer vision system to detect branches, a control algorithm to optimize cutting actions, and a virtual reality (VR) tool to model vines and simulate pruning strategies. At its core is a Kinova Gen3 Lite robotic arm, mounted on a mobile rover that serves as the physical backbone of the system.
AI-STABLEPOWER aims at developing methodologies for the analysis of power system stability by means of state-of-the-art artificial intelligence (AI) techniques. Indeed, monitoring stability is a major concern for Transmission System Operators (TSOs), as the ongoing displacement of conventional generators by renewable generation technologies has reduced system inertia, thus affecting system stability.
The AISS4SA project aims to optimize water usage by implementing a modular system that monitors water levels in different paddy field chambers.
The AMBROSE project aims to address the challenge described above by introducing a modern, integrated, multidisciplinary SHM framework. This system will utilize automated monitoring, a combination of direct and indirect sensing methods, and advanced data analysis to detect structural issues early, enabling predictive maintenance and reducing the need for costly, urgent repairs.
The Augmented Reality Vehicle Interface (ARVI) project main goals are: enjoy a unique experience in a rapidly growing startup, learn by doing & get a working methodology, work on cool stuff, having the freedom to build new things from scratch. The project is designed for students that are willing to be out of their comfort zone, ready for complex tasks and to be hands-on.
The project aims to research, develop and implement a highly accurate 24/7 cloud-type classification system (CTCS). This classification system uses two advanced all-sky smart cameras that capture images in both visible and infrared domains, enabling accurate sky coverage classification. Smart all-sky cameras sensors refine and improve data collections and incorporate numerous measures to ensure a consistent data flow and minimize classification errors.
ASCloud – TC: All Sky Camera Cloud Type Classifier Read More »
The BASTA (Bio-inspired and Adaptive Strategies to TAckle fragility fractures) project aims to design an advanced bone scaffold, more efficient than existing commercial products.
Considering the huge environmental impact of cruise ships, the project aims at detecting solutions for a more sustainable cruising. The latter must also consider the economic interests of the maritime industry, considering first and foremost the welfare of the cruise ship’s customer-passenger.
C2S – Cruise towards Sustainability Read More »
The goal of the chatIMPACT project is to bridge this gap, building a platform that allows users to easily access the knowledge they need in the LLMs domain.