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Giulio Campagna - Researcher at Smart Production Laboratory, Aalborg University

In the long term, my research in industrial human-robot collaboration within the Industry 5.0 paradigm has the potential to significantly enhance the way humans and robots interact in industrial settings and beyond. By leveraging machine learning, my work aims to create intelligent, adaptive systems that foster trust, improve ergonomics, and enable seamless cooperation. This can lead to safer and more efficient workplaces, reducing physical strain on workers while increasing productivity and job satisfaction.

Portrait

Giulio Campagna - Researcher at Smart Production Laboratory, Aalborg University

In the long term, my research in industrial human-robot collaboration within the Industry 5.0 paradigm has the potential to significantly enhance the way humans and robots interact in industrial settings and beyond. By leveraging machine learning, my work aims to create intelligent, adaptive systems that foster trust, improve ergonomics, and enable seamless cooperation. This can lead to safer and more efficient workplaces, reducing physical strain on workers while increasing productivity and job satisfaction.

About Giulio Campagna

  • Place of birth: 1995, Siena (Italy)
  • Nationality: Italian
  • Title of PhD dissertation: "Data-Driven Trust Assessment in Human-Robot Collaboration for Industrial Applications"
  • Faculty at AAU: The Faculty of IT and Design
  • Department at AAU: Institute of Architecture, Design and Media Technology
  • Campus: Aalborg
  • Year of graduation: 2025

Current employment and workplace

Researcher at Smart Production Laboratory, Department of Materials and Production, Faculty of Engineering and Science, Aalborg University

How did I become interested in my field of research?

My interest in industrial human-robot collaboration within the Industry 5.0 paradigm stems from a strong motivation to enhance human-centered automation through data-driven methodologies. I was particularly drawn to the challenge of fostering trust, ensuring ergonomic interactions, and enhancing usability through data-driven approaches. By leveraging machine learning, I aimed to develop adaptive robotic systems that can dynamically respond to human intent, improve safety, and facilitate seamless collaboration. This interdisciplinary research integrates advanced data analytics, human factors, and intelligent control strategies to create user-friendly interfaces and enhance cooperative interactions, ultimately contributing to the next generation of industrial automation.

What am I most passionate about in my work?

I am most passionate about enhancing human-robot collaboration by leveraging machine learning to create intelligent, adaptive, and user-friendly robotic systems. My work focused on fostering trust, ensuring ergonomic interaction, and designing intuitive control interfaces that enable seamless cooperation between humans and robots. I fond great fulfillment in developing data-driven solutions that not only improve efficiency and safety but also empower workers by integrating automation in a way that enhances, rather than replaces, human capabilities. The interdisciplinary nature of this research¡ªbridging artificial intelligence, human factors, and industrial automation¡ªdrives my enthusiasm to contribute to the future of Industry 5.0.

What made the strongest impression on me during my PhD defense?

My message to current and future PhD students is to embrace curiosity, perseverance, and resilience. The PhD journey can be challenging, but it is essential to stay focused on your passion and purpose. Do not be afraid to fail¡ªmistakes are opportunities to learn and grow. Be open to new ideas, collaborate with others, and remember that balance is key. Take care of yourself, as personal well-being fuels academic success. Ultimately, a PhD is about developing as both a scholar and a person, so trust the process and stay patient with yourself.

In the long term, what impact can my research have on society?

In the long term, my research in industrial human-robot collaboration within the Industry 5.0 paradigm has the potential to significantly enhance the way humans and robots interact in industrial settings and beyond. By leveraging machine learning, my work aims to create intelligent, adaptive systems that foster trust, improve ergonomics, and enable seamless cooperation. This can lead to safer and more efficient workplaces, reducing physical strain on workers while increasing productivity and job satisfaction. Beyond industry, the principles of my research can be applied to healthcare, service robotics, and assistive technologies, improving quality of life for individuals who rely on robotic assistance. By integrating human-centered design with advanced automation, my research contributes to a future where technology enhances human capabilities rather than replacing them, ultimately leading to a more inclusive, efficient, and sustainable society.

What piece of advice would I offer current PhD fellows who want a career outside academia?

My advice for PhD fellows aspiring to careers outside academia is to embrace the transferable skills you have developed during your research. Critical thinking, problem-solving, data analysis, and project management are highly valued in industries ranging from tech to healthcare to manufacturing. It is important to identify how your expertise aligns with real-world problems and be open to applying your knowledge in new contexts. Networking is also key¡ªengage with professionals in your field of interest and explore industry events to understand the skills and qualities employers seek. Finally, do not be afraid to step out of your comfort zone. Transitioning from academia to industry may seem challenging, but the analytical mindset, creativity, and resilience you have developed during your PhD will serve you well in any career path you choose.

A little bit about the person behind the researcher?

I would describe myself as a naturally curious and forward-thinking individual who enjoys solving complex problems with a balance of logic and creativity. I am highly analytical, always looking for patterns and connections in data, but at the same time, I have a strong human-centered perspective that drives my approach to research. Resilience and adaptability are key traits that define me¡ªI thrive in dynamic environments where challenges require innovative thinking and persistence. I am also highly collaborative, valuing diverse perspectives and open discussions that lead to well-rounded solutions. My ability to stay focused, organized, and detail-oriented allows me to approach research methodically while remaining open to new ideas and continuous learning.

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