Technologies

4Ts Game was born in ITD in 2017 to indicate a board game for teacher training, which aims to develop skills in designing collaborative learning activities. The game was originally conceived as a 'tangible' game, consisting of a board and 4 decks of paper cards which contain inputs that guide the teachers/players' design process. Subsequently the game evolved and was developed in its digital version. In this version, developed in Unity and with an underlying knowledge base in Prolog, the game is able to provide feedback to teachers regarding the design/game choices made.

The Proof-of-Concept A.L.I.C.E. or "Actuators based on Light sensitive CompositE" aims at the development of innovative materials through 3D/4D printing processes and uses them as actuators in the fields of photovoltaics, concentrated solar power, thermodynamic solar, and other applications such as optical deflectors, optical microvalves, and optical switches.

Portable robotic device for bilateral neuromotor rehabilitation. An appropriate mechanical structure and a series of interchangeable accessories suitably designed allow the execution of various motor gestures of the upper limbs, involving different articulations and muscles. The possibility of being used with both limbs contributes to the recovery of motor coordination and facilitates the mechanism of brain plasticity. Some rotary axes the device is equipped with are motorized and sensorized.

The development of new materials with near-infrared emission (NIR, 700 – 1000 nm) represent an important target in the technological progress of innovative active components for OLED devices (including flexible ones), surveillance systems, autonomous driving, night vision sensors, fiber optic telecommunications and medical systems. In all these fields it still lacks a commercial NIR-OLED technology.

The proposed technology is based on the concept of Power-Over-Fibre (PoF), which involves the transmission of data and power over an optical fiber. This technology is suitable for applications where traditional copper cabling is impractical or undesirable. This is the case with pantographs, where there is a large potential difference between the catenary and the earth, and therefore any electrical contact must be avoided for safety reasons. Furthermore, pantographs operate in an environment with very high electromagnetic interference (EMI).

The metasurface optomechanical modulator is a device designed to modulate the amplitude, phase and polarization of a beam of electromagnetic radiation, independently, or simultaneously, according to prescribed paths in the parameter space (for example, as regards polarization, paths on the Poincaré sphere). The concept of our device can be applied to the entire spectrum of electromagnetic waves: from radio frequency, to microwaves (GHz), to millimeter waves (THz), to far and near infrared radiation, and to visible light.

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.

AIS aim is a robotized inclinometer measurement in standard inclinometer boreholes. The deep measurements have multiple applications, including: evaluating the rate of deep-seated ground deformation in landslide areas, evaluating the volume of deep-seated landslides and assessing landslide hazards. The AIS is composed by an electronic control manager, an inclinometer probe and an electric motor equipped with a high precision encoder for handling and continuous control of the probe in the borehole.

Our team can develop low-cost ultra-flexible sensors integrated on plastic substrate for volatile organic compounds (VOCs) and gas detection. These devices combine scalable fabrication technologies, implementing active materials such as nanostructured metal oxides or stack of nanostructures decorated with metal nanoparticles, thus enabling a high sensitivity (in the range of hundreds of ppb). These devices can be applied to numerous industrial and commercial sectors and they can be embedded in systems that are more sophisticated.

IMM has developed tactile sensors for the detection of objects and surface and for the handling of objects with humanoid robots (e-skin). These devices can be integrated on ultra-flexible and high conformable substrates and they can be used for multiple applications: 1) for a correct interaction with objects distributed in complex environment; 2) for a safe short-range interaction between humanoid robot and humans; 3) for fabricating smart wearables for the detection of biometric parameters (e.g. heartbeat); 4) for remotely control rovers with wearable gadgets.

This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.

Environmental monitoring is a rapidly growing field, both in academia and industry. The use of wearables for environmental monitoring is a promising technique, as it allows data to be collected continuously and comprehensively. The main problem with using wearables for environmental monitoring is the size and weight of the system, as well as the high degree of specialization required to develop a fully functional device.