Personal profile

Research profile

 

CURRICULUM VITAE LINK: Curriculum Vitae

 

2018: Received a B.Sc. degree in Computer and Information Engineering from the University of Siena, with a thesis entitled "Experimentation on Real Video Systems for Object Detection." The Bachelor's program covered a wide range of courses in Computer Science, Automation, Telecommunications, and Electronics.

2021: Received an M.Sc. degree in Computer and Automation Engineering, specializing in Robotics and Automation, from the University of Siena. The Master's thesis was entitled "Commanding Grasping Robot through Virtual Reality and Simulated Wrenches." This program provided advanced knowledge in artificial intelligence, machine learning, industrial automation, and robotics. Additionally, completed Erasmus studies at the Technical University of Munich and an Erasmus traineeship at Aarhus University.

2022: Qualified as a Robotics and Automation Engineer in Section A, Information Engineering Sector, Class LM-32, from the University of Florence.

2022: The Master's thesis was registered in the Italian database PubbliTesi in recognition of its outstanding quality.

2022–2025: PhD Fellow in Human-Robot Collaboration at Aalborg University, Human- Robot Interaction Laboratory.
Research focused on developing machine learning algorithms leveraging multi-modal sensor data to enhance safety, foster trust, and promote ergonomic behavior. The aim was to create more user-friendly robot control systems for human operators in industrial human-robot collaboration.
Aalborg University is ranked among the top 20 universities worldwide for engineering, according to the prestigious Best Global Universities ranking.
Furthermore, was involved as a Visiting Researcher at the DLR - German Aerospace Center and the Italian Institute of Technology.

Specialties: My research areas include industrial Human-Robot Collaboration, Collaborative Robotics, Human-Robot Interaction, Machine Learning.

ORCID: 0000-0002-2422-1663
RESEARCHID: ADG-0240-2022

IEEE MEMBERSHIP

IEEE ROBOTICS & AUTOMATION SOCIETY (RAS) MEMBERSHIP

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Robotics and Automation Engineering, Master's Degree, Commanding Grasping Robot through Virtual Reality and Simulated Wrenches, University of Siena

11 Oct 201826 Apr 2021

Award Date: 26 Apr 2021

Computer and Information Engineering, Bachelor's Degree, Experimentation for real video of systems for Object Detection

20141 Oct 2018

Award Date: 1 Oct 2018

Keywords

  • Computer Science
  • Human-Robot Collaboration
  • Human Robot Interaction
  • Human-in-the-loop
  • Machine Learning
  • Industry 5.0

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Collaborations from the last five years

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