Artificial Intelligence

“PILOT” an AR-based assembly assistant

In partnership with Physik Instrumente (PI) – worldwide leader in the manufacturing of nanopositioning products – the project aimed at investigating the typical industrial applications of augmented reality (AR), virtual reality (VR) and mixed reality (MR), and at identifying the most relevant one for PI, to be implemented in a functional demonstrator. Such prototype was …

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SEI AI – How AI-Driven humanoid robots can create new business opportunities enhacing the gym experience

The challenge presented in this work was to identify new business applications for a humanoid robot exploiting its empathic capabilities. More specifically, the humanoid robot Pepper was provided by our industry partner, Sprint Reply. According to the vast diffusion of technological devices for the support of people’s physical wellbeing, our team decided to make Pepper …

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The present research objective is to develop a human activity recognition (HAR) system by exploiting in-memory computing (IMC) and machine learning technologies. However, while most of the developed HAR systems have been focused on the identification of macro activities, little attention has been addressed to systems with a narrower scope. After analyzing market potential and …

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AR SEI: Automation and Robotics

The project was developed by the team within the SEI Pioneer program in partnership with ASP. The goal of designing, prototyping and testing an innovative robotic product was pursued exploiting the entrepreneurial formation program, offered by SEI. During the project development, technical matters were successfully dealt with, together with start-up issues, like problem vision and …

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Smart City DiVA: SMART CITY Data Visualization and Analytics

Smart City DiVA is the project that led to the design and implementation of a dashboard for the city of Milan. City dashboards are among the digital tools that try to handle the complexity of smart cities, by displaying indicators about the urban performance and aiding people that are accountable for it, namely the Municipality …

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SB 4.0 WAPI: Space Business 4.0

Space Business 4.0 (SB4) has the goal to generate innovative business models based on satellite data. The team has been required to analyze the space ecosystem, highlight enabling and limiting factors for the creation of satellite-based business models, generate several innovative downstream applications, select the most promising, develop and validate it by interviewing prospective adopters. …

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IRoPA: Intelligent Robotic Partner

The IRoPa project,ordered by theCentro Ricerche Fiat, is dictated by the automotive sector need not only to enhance the flexibility of the production lines but also to allow high product diversification and quick line conversions.The purpose of this project is the implementation of a feasibility analysis – with its relevant preliminary plan – of an …

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AMoRoSA: Autonomous Mobile Robots for Service Applications

The project was oriented towards autonomous mobile robots, that are products of growing interests in the consumer market (surveillance, cleaning, gardening, impaired people support, etc). In order to achieve the exploitation of the research, strong constraints were defined: the goal was to obtain low-cost products able to satisfy the requirements of the market and not …

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NanoTra: integrating nanotechnologies with the design of materials and components of the future transport systems: towards the formation of a nano -engineer

In a study by the NIH (National Institutes of Health, in the USA) reported in Science in 2006 to identify ‘Grand Challenges for Global Health’, two of the 14 priorities involved diagnosis and measurement of patients’ health statuses: first ‘’develop technologies that allow assessment of individuals for multiple conditions or pathogens at point-of-care’’, and second …

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NDT: Nanobiotechnologies for diagnostics and innovative therapies: opportunities and scenarios

In a study by the NIH (National Institutes of Health, in the USA) reported in Science in 2006 to identify ‘Grand Challenges for Global Health’, two of the 14 priorities involved diagnosis and measurement of patients’ health statuses: first ‘’develop technologies that allow assessment of individuals for multiple conditions or pathogens at point-of-care’’, and second …

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