fbK ARCHIVIO INTERNO ph Girardi Alessandro

Industry of the future

 

The realization of the Industry of the Future for FBK will be achieved thanks to the full application of Artificial Intelligence. Advances in technology and the high availability of data will allow for the improvement and optimization of machines, factories and industrial processes in terms of quality, efficiency, safety, cost-effectiveness, well-being of workers. In particular, FBK achieves levels of scientific excellence and a high industrial impact in specific areas such as:

  • flexible process control
  • critical systems
  • autonomous robotics
  • quality control
  • predictive maintenance
  • metrolgy

Strenghts

The basic principle for a successful implementation of the Industry of the Future is, for FBK, “solving problems with science” which allows the development of innovative solutions based on the technological transfer of research results. In particular, research develops integrated, interdisciplinary, domain-independent solutions pushed by the latest challenges of Artificial Intelligence (Integrative AI, AI at the Edge and Certified AI).


Technology and related fields of application

  • FBK Model-Based Design Analysis tools
    They support a variety of formal method-based features such as model checking, SMT solving, fault injection e model-based safety analysis, contract-based design and semantica validation of the requirements.
  • Model-Based Testing for parametric and configurable systems
    FBK supports the testing phase of software systems characterized by high variability in the space of possible functional configurations and release architectures. The goal is to explore new approaches to the automated generation of test cases by exploiting the joint use of model-based techniques and AI.
  • V-SLAM
    Video sequences are processed automatically and in real time to derive the positioning and 3D mapping of the scene shot, in industrial contexts and in other fields.
  • Visual learning
    Machine learning techniques for image segmentation, object and pattern classification, with applications in robotics and quality control in complex scenarios.
  • FBK reasoning tools for autonomous systems
    They integrated symbolic and data analysis techniques to support adaptive control, including monitoring and planning capabilities.
  • AI for 3D Heritage
    FBK has developed 3D classification methods, based on machine learning, for the semantic enrichment of 3D cultural heritage data.  The AI solutions for semantic enrichment are transferable to other sectors.
  • Model-Based Testing for extended reality based systems
    FBK supports the testing phase for extended reality-based systems using AI-based test agents that allow to automatically explore and test the virtual world.
  • FBK Model-Based Software Engineering for Safety-Critical Control Systems
    FBK provides several tools to specify complex control software and to synthesize embedded code with high assurance for safety-critical domains.
  • Augmented reality
    The ability to consistently insert relevant information into the scene has enormous potential in industrial applications and in human-machine interactions.
  • Scene understanding techniques
    Analysis of video scenes with the aim of determining the elements of interest within them and their space-time relationship
  • Automatic techniques for speech translation and subtitling
    FBK provides AI-based tools that provides a textual translation of speech and subtitles compliant with market demands and useful for professional subtitles

Featured Projects

  • Projects related to the COMPASS, framework funded by ESA (European Space Agency). Projects focus on a coherent set of formal specifications and analysis techniques to support the design, development, safety and reliability assessment and implementation of complex aerospace systems.
  • Projects in the railway sector.
    The Digital Industry center is involved in various projects in the field of railways that aim to define new methodologies and tools for the design, development, testing, verification and validation of the railway interlocking signaling systems and control systems for autonomous trains that they must comply with strict safety standards such as EN 50128 for the design and development of railway systems.
  • iv4XR (EU H2020): the aim of the project is to build a new verification and validation technology for extended reality systems based on AI techniques to provide learning and reasoning on a virtual world.
  • Speech translation projects in order to support professional subtitlers and interpreters with artificial intelligence with artificial intelligence (MateDUB, EuroSub, SmarTer).
  • CASTORONE: the system of planning and execution of the activities necessary for the manufacture of pipes for marine oil pipelines and their laying in the sea made operational on the CastorOne ship (one of the largest pipeline laying ships in the world).
  • BOEING: the system developed allows to analyze with mathematical models all the possible scenarios in the design phase and to proceed with their verification, always using automatic resolution software. In this way, traditional engineering work is supported by offering further guarantees relating to the proper operation of the systems involved in all scenarios of interest.
  • ROBDT: the project aims to develop a Robotic Digital Twin framework that combines three kinds of models: data-based, physics-based and symbolic models – based; it uses online data and analytics to adapt models at runtime. The digital twin supports robotic asset operations by providing reliable timing and forecasting and supporting the what-if analysis to evaluate multiple scenarios.
  • The goal of the ATO (Automatic Train Operation)project is the development of an experimental railway vehicle capable of traveling on the railway line at high speed and in full autonomy, but which can also be driven remotely, under ERTMS/ETCS supervision, systems for high-speed lines. Its long-term goals are the reduction of maintenance times and costs of railway lines, the innovation of the maintenance process by increasing the effectiveness of preventive actions, greater perceived comfort and shorter travel times.
  • XLoader4.0
     the project involves the integration and use of an artificial vision system capable of providing a robotic system with the spatial coordinates for handling items that undergo galvanic treatment. Thanks to the use of two anthropomorphic arms, the items to be treated are loaded onto special support frames. The Vision System has two main roles: (i) to identify the spatial installation of the frame and all the supports and (ii) to verify that the items have been correctly positioned on them.
  • The Veneeresult  project has as its objective the evaluation of the aesthetic level of precious pieces of wood. By exploiting some modules developed in the Defectless project which, with machine learning methods applied to wood tomography, are able to determine the presence, position and severity of defects, the evaluation of quality based on the aesthetic criterion, allows an optimized use of each piece in the production process.