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The Center for Human Technologies (CHT) comprises four floors of Tower B in the Erzelli Science Park (about 9000 sqm). The research activities are focused on technologies for human health, rehabilitation and human-machine interaction. The CHT approach is based on a multidisciplinary vision in collaboration with research hospitals and clinical institutions, in order to design and develop new technologies or improve the existing ones.

Laboratories

This interdisciplinary Center hosts teams with different backgrouds to achieve a multicultural synergistic approach to healthcare, including

  • An interdisciplinary computational laboratory, bridging machine learning, big data, human machine interaction, computational life science, computational material science, and imaging
  • Laboratory dedicated to Neurogenomics for understanding, diagnosing, treating neurodevelopmental and neurodegenerative diseases
  • Laboratory dedicated to theranostic Robotics i.e. robotics to treat and diagnose neurodevelopmental and neurodegenerative disorders
  • Laboratory dedicated to Point-of-Care Diagnostics for low-cost ultra-high-sensitivity molecular and enzymatic disposable diagnostics devices, which can be used for massive screening, safety, and food traceability
  • The supermicroscopy and imaging laboratory, which has been considerably expanded on the new site

Research Lines

The Cognition Motion and Neuroscience unit investigates the cognitive and neural mechanisms underlying motor cognition. To do this, we call upon a diverse array of research methods, including quantitative behavioural and neuroimaging techniques.

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The focus of Robotics, Brain and Cognitive Sciences Unit (RBCS) is a “human centric” approach to interaction science along three main branches of research: i) humanoid robotics with a focus on cognition; ii) human behavioural studies and rehabilitation with a focus on action and perception; iii) human-machine communication and interaction with a focus on agent-agent cooperation guided by mutual understanding.

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Social cognition in human-robot interaction (S4HRI) research line focuses on examining mechanisms of social cognition involved in interactions with humanoid robots.

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The main aim of our unit is to early identify spatial impairments that impact life of visually disabled people and build innovative solutions to prevent the risk of developmental delays.

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