Robotics Engineer
Robotics Engineer
Dr. Giulio Campagna
Robotics Engineer
IEEE Member
Nationality:
Italian
Work Address:
Fibigerstræde 16, 9220, Aalborg, Denmark
Email:
Phone:
+45 22543373
+39 3337396558
Linkedin:
Brief Introduction
2018: Received a B.Sc. degree in Computer and Information Engineering from the University of Siena (Italy), 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 (Italy). 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 (Italy).
2022: The Master's thesis was registered in the Italian database PubbliTesi in recognition of its outstanding quality.
2024: Finalist, Digital Sustainability Award – Recognized by the first Italian research foundation dedicated to digital sustainability.
2022–2025: PhD Fellow in Human-Robot Collaboration at Aalborg University (Denmark), 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. The PhD thesis, entitled "Data-Driven Trust Assessment in Human-Robot Collaboration for Industrial Applications," was conducted under the RETRO Project: Regulating Trust in Human-Robot Interaction, funded by the Independent Research Fund Denmark (DFF Research Project 2, Grant No. 1032-00311B).
Furthermore, served as a Visiting Researcher at the DLR - German Aerospace Center and the Italian Institute of Technology (under the supervision of Dr. Arash Ajoudani).
Publications: Authored 11 peer-reviewed articles, including IEEE RO-MAN, IEEE ICRA, IEEE RA-L (IF: 5.3), and ACM THRI (IF: 5.5).
According to the Best Global Universities rankings, Aalborg University is ranked third in Europe for engineering, following ETH Zurich and Imperial College London.
Research Interest: Research in Human-Robot Collaboration on multimodal models and robot learning for adaptive interaction, with a focus on trust, safety, and ergonomics in Industry 5.0. Expertise in physical HRI, collaborative robotics, and machine learning for user-centered systems. Emerging interests include transfer learning, kinesthetic teaching, and foundational models.
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For further details, please download the curriculum from the link.
Education
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Ph.D. Fellow in Human - Robot Collaboration - Aalborg University, Technical Faculty of IT and Design, Denmark
Thesis: Data-Driven Trust Assessment in Human-Robot Collaboration for Industrial Applications
Research Line: Human - Robot Collaboration
Laboratory: Human - Robot Interaction
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Visiting Researcher - German Aerospace Center, Germany
Experiments were conducted at the Center for Lightweight-Production-Technology, German Aerospace Center (DLR).
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Visiting Researcher - Italian Institute of Technology, Italy
The experiments were conducted under the supervision of Dr. Arash Ajoudani at the Human-Robot Interfaces and Interaction Laboratory, Italian Institute of Technology (IIT).
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Qualification to the profession of Robotics and Automation Engineer in section A, Information Engineering sector, class LM-32 – University of Florence, Italy
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Master's Degree: Computer and Automation Engineering - Robotics and Automation - University of Siena, Italy
Thesis Title: Commanding Grasping Robot through Virtual Reality and Simulated Wrenches (link)
Registration of Master Thesis in Italian Database PubbliTesi for recognition of one among best thesis (link)
Finalist for the Digital Sustainability Award 2024
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Erasmus For Traineeship - Aarhus University, Denmark
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Erasmus For Studies - Technical University of Munich (TUM), Germany
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Bachelor's Degree: Computer and Information Engineering - University of Siena, Italy
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Scientific - Technological High School - Tito Sarrocchi - Siena, Italy
Certifications
Relevant Courses
ROBOTICS:
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Robotics - University of Siena, Italy
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Human-Centered Robotics - University of Siena, Italy
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Dynamic Human Robot Interaction - Technical University of Munich (TUM), Germany
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Project In Human-Centered Neuroengineering for Cybathlon - Technical University of Munich (TUM), Germany
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Advanced Robot Control and Learning - Technical University of Munich (TUM), Germany
ARTIFICIAL INTELLIGENCE:
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Artificial Intelligence - University of Siena, Italy
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Machine Learning - University of Siena, Italy
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Deep Learning - Ph.D. Course, Aalborg University, Denmark
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Reinforcement Learning and Dynamic Programming - Ph.D. Course, Aalborg University, Denmark
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Architecture of Machine Learning Systems - Ph.D. Course, Aalborg University, Denmark
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Data and Machine Learning Operations (DataOps and MLOps) - Ph.D. Course, Aalborg University, Denmark
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Data Quality Management - Ph.D. Course, Aalborg University, Denmark
CONTROL:
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Dynamic Systems - University of Siena, Italy
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Control Systems - University of Siena, Italy
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Multivariable, Nonlinear and Robust Control - University of Siena, Italy
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Discrete Event Systems - University of Siena, Italy
OPTIMIZATION:
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Network Optimization - University of Siena, Italy
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Data and Decision Analysis - University of Siena, Italy
SIGNAL PROCESSING:
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Signal and Spectral Analysis extracting information from noisy data - Ph.D. Course, Aalborg University, Denmark
RESEARCH-ORIENTED SKILLS:
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Management of Research and Development - Ph.D. Course, Aalborg University, Denmark
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Academic Writing in English - Ph.D. Course, Aalborg University, Denmark
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Writing and Reviewing Scientific Papers - Ph.D. Course, Aalborg University, Denmark
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Applying the Danish Code of Conduct for Research Integrity to your Research - Ph.D. Course, Aalborg University, Denmark
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Online Profiles, Dissemination and Metrics - Ph.D. Course, Aalborg University, Denmark
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International Scientific Networking - Ph.D. Course, Aalborg University, Denmark
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Problem-Based Learning - Ph.D. Course, Aalborg University, Denmark
Activities
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Workshop (RO-MAN 2023): Trust, Acceptance and Social Cues in Human-Robot Interaction – SCRITA
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Workshop (ICSR 2023): ASIMOV: Adaptive Social Interaction based on user’s Mental mOdels and behaVior in HRI
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Annual Aalborg Robotics Workshop
International Relations
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Academic: Aalborg University, University of Southern Denmark, Aarhus University, TU Wien, University of Siena
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R&D: Italian Institute of Technology, German Aerospace Center, National Research Council of Italy – STIIMA
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Industry: IT+Robotics s.r.l
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IEEE MEMBERSHIP- IEEE, 24-02-2022
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IEEE ROBOTICS & AUTOMATION SOCIETY (RAS) MEMBERSHIP - IEEE RAS, 24-02-2022
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FIRST - University of Cambridge, 10-08-2021, Certificate Number: B6014466 - European Level: B2
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PET - University of Cambridge, 01-05-2014, Certificate Number: 0044043424 - European Level: B1
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DELF - DELF, 26-11-2009, European Level: A1
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ECDL CORE - AICA, 23-04-2010, N° IT 1526910
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ECDL ADVANCED MODULE AM4 - AICA, 19-01-2012, N° ADV026100
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Formazione Generale dei Lavoratori - Corso AiFOS EL/350792, Attestato n. U185600, 22-10-2023
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IDA (Ingeniørforeningen i Danmark): The Danish Society of Engineers, IDA is a professional body and trade union for technical and scientific professionals
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IEEE Membership (Institute of Electrical and Electronics Engineers): IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.
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IEEE Robotics & Automation Society (RAS) Membership: The IEEE Robotics and Automation Society aims to advance robotics and automation engineering and science, uphold high professional standards, and promote education and research, in line with the IEEE Constitution and its Field of Interest.
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Technical Committee for Human-Robot Interaction & Coordination: The IEEE-RAS Technical Committee on Human-Robot Interaction and Coordination aims at providing a framework for discussion for the variety of issues related to the development of robots intended to interact with human beings.
