According to the Internet of Things (IoT) paradigm, real and virtual objects are given a digital identity and can self-organize in a safe and dynamic global network in order to allow management and optimisation of complex processes. Such vision is now evolving to integrate progresses in sensor technology, Artificial Intelligence, distribution of intelligence to the edge and informatic security and thus enable the development of IoT systems with autonomous functionality and their interaction with people.
LINKS Foundation matured strong competences in IoT during the years, researching and developing technological solutions to innovate applications in many effect areas. It performed research and development projects in industrial collaborations and international initiatives and directly participated to the construction of European research roadmaps for IoT evolution.
Research focused on specific themes such as enabling technology for indoor location, the development of IoT solutions for systems and processes monitoring and control, the abstraction of heterogeneous IoT resources and semantic interoperability, the creation of digital twins of heterogeneous processes and the distribution of intelligence in IoT systems distributed from the cloud to the edge.
LINKS supports the creation of IoT solutions through all design steps by defining complex architectures and adopting most of the available standards, development/prototyping and field tests, supporting businesses in engineering the prototypes towards the definition of a product for the market.
We developed precise location solutions for indoor environments through wireless technology, supporting innovative applications in many effect areas such as Circular Industries, Sustainable Logistics and Environment and Sustainable Cities, enabling autonomous navigation of cyber-physical systems like drones and mobile robots.
We provide competences in design and prototyping of IoT devices, wearable (with indoor location functions) or not, to innovate systems and processes. We worked to define approaches and solutions for interoperability in heterogeneous IoT environments made of industrial automation systems, drones and mobile robots. The ultimate goal is to simplify the interaction between heterogeneous systems and develop business logics abstracting the supplied functions and harmonizing the formats of gathered and exchanged data. We also researched solutions for digital twins, building a digital version of systems and processes and the integration with simulation environments.