aHead Research actively contributes to several funded research project


aHead Research actively contributes to several funded research project. Here are the project in which our teams is involved:

Swarm intelligence for Cyber-physical Systems of Systems

European project geared toward the design of CPSoS networks, robust and intelligent networks able to interconnect cybersystems and people and satisfy industrial standards. The development of the Swarm Intelligence DevOps Framework will support the implementation of CPSoS for packaging operations, material movimentation, automation of vehicles in dynamic environments and aerial drone fleets to monitor processes in detail. 

Sustainable supply chain optimization

European project that aims to optimizes energy consumption in several stages of the production process, by considering the entire life cycle of the product and the whole value chain. The development of a modular technological platform and an intersectoral methodological framework will allow for the monitoring, evaluation, and optimization of sustainability and energy consumption of an entire factory. The design of a digital twin of the production will make it possible to predict production performance and analyze energy flows.

AI & Humans

The european project develops solutions to facilitate interaction between AI-equipped machines and human operators in the industrial context. The focus is on both the transformation of complex data in easily interpretable information and the implementation of techniques to enable learning and adaptation of such machines to the specific operative context. The key for human-machine interaction is indeed the possibility of an easy and intuitive communication between the two, apart from the ability of such machines to learn instructions coming from the user.

Robust automation through machine learning, simulation & optimization

The european project offers the possibility of developing innovative robots for agile production, equipped with elastic and highly efficient actuators which makes capable of highly dynamic movements such as throwing objects. Such robots will be equipped with planning and adaptation skill within unknown and non-static environments, in addition to the capability of sensing presence and intentions of human operators nearby.

Digital twin & optimization for production and logistics

An Italian project proposing a technological system to improve the functioning of logistic and productive industrial processes. The core of such project is the Digital Twin, that is, a digital model of the real processes which allows for a proactive management of critical events, therefore minimizing the impact on the whole production chain. The proposal includes the introduction of tracing systems based on blockchain technologies to achieve a certified, anti-counterfeicting system.

Simulation and optimization for intra-logistics automation

European project that aims to develop robotic solutions to integrate to current logistic structures with high flexibility, extreme reliability, that are swift to implement, safe and efficient in shared environments with human operators. In particular, the project has the goal of overcoming current limitations, such as: tracing of nearby human operators, easily interpretable and intuitive movements, coordinating an heterogenous fleet of robots. Moreover, it proposes to lay the foundations for future safety standards in human-machine interaction

PET & polyester recycling

European project that aims to develop technical solutions for depolymerization of PET on an industrial scale, closing the life cycle of such material through a value chain of circular economy, reducing plastic market dependance on natural resources and drastically improving the environmental footprint of PET production through the introduction of the concept of recycling.

Optimizing management of patients at home

The Italian-funded project aimed to develop a prototype of a strategic service to manage patients at home in situations that put severe stress on the normal operating modes of the regional health service. Based on analysis, industrial research partners will be able to optimize and enlarge the platform to offer a tele-medical service that will enable patient assistance and real-time analysis supported by predictive models, so that the stress on the sanitary system and optimal resource allocation can be predicted.