Fiorella Sibona

Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35o ciclo (2019-2022)

Dottorato concluso nel 2023


Robots learn to behave: improving human-robot collaboration in flexible manufacturing applications (Abstract)


Marina Indri

Presentazione della ricerca:

Presentazione video Poster


Argomento di ricerca

Robots learn to behave: improving human-robot collaboration in flexible manufacturing applications

Interessi di ricerca

Mechatronics and robotics
Systems, Automation and Control


Over the past decades, industrial revolutions hinted to future fully automated scenarios, where humans would have taken on the role of mere supervisors. However, the need for mass product customization, rather than mass production, has led to a new concept of production line, where robots share workspaces with humans. The solutions envisaged by Industry 5.0 are human-centered and flexible manufacturing setups, where fixed-base and mobile robots collaborate with humans. This interaction has yet to become smooth given the difference in cognitive capabilities. To teach robots the correct and safe behaviour during collaboration, artificial intelligence can be leveraged to enable operation recognition and allow for learning. Current research interest focuses on the use of machine learning, deep learning and reinforcement learning to improve collaboration among humans and robot.

Fiorella received a M.Sc degree in Mechatronic Engineering in 2017 in Politecnico di Torino, after having obtained a B.Sc degree in Computer Engineering from the same university. The M.Sc thesis was developed within the Robotics Research Group laboratory at Politecnico di Torino, in collaboration with the HotBlack Robotics startup (Torino), using 3D printing technology and Open Source frameworks and tools such as ROS (Robot Operating System) and Docker containerization. Moreover, during the experience as research assistant in the DET (Dipartimento di Elettronica e Telecomunicazioni) department in Politecnico di Torino in 2018, she worked within the HuManS (Human centered Manufacturing Systems) project coordinated by COMAU S.p.a., with the aim of designing a network of AMRs (Autonomous Mobile Robots), able to integrate the role of a well-established system of AGVs (Automated Guided Vehicles) within an industrial scenario, involving dynamic environments (e.g., shared with human operators). The purpose was to design system specifications so as to provide support to preexisting mobile platforms and to enable an easier human-machine collaborative interaction. The project, related to the improvement of smart factories, was funded by Regione Piemonte.

Premi e riconoscimenti

  • Innovation4Change (I4C) 2020 participant. Participation to the I4C program, subject to acceptance after rounds of selection. The experience lead to a publication on CERN IdeaSquare Journal of Experimental Innovation (CIJ). Developed by Collège des Ingénieurs Italia, Politecnico di Torino and CERN Ideasquare, Innovation 4 Change is a 5-month intensive programme, where participants develop innovative and scalable business ideas and practical solutions to respond to the important challenges presented by the partners, which are always related to social, economic and environmental problems of today. (2023)
  • Vincitrice borsa collaborazioni part-time riservato a studenti dottorandi - anno 2022 (2022)
  • Zurigo 01-10/07/2021, ETH Zürich Partecipazione alla ETH Robotics Summer School (05-09 Luglio), previa accettazione alla scuola la quale è completamente finanziata dalla ETH Zürich (escluso viaggio). Ufficialmente la commissione seleziona 50 partecipanti su tutti i richiedenti a livello internazionale, risultata nella selezione di 39 partecipanti (su 467 richiedenti) per l'edizione 2021. La scuola ha compreso la partecipazione all'ETH Robotics Symposium (02 Luglio). Sito web ETH RSS: web ETH Robotics Symposium: (2021)
  • Vincitrice Premio di Qualità 2021 della Scuola di Dottorato del Politecnico di Torino. (2023)
  • Five videos selected out of 44 IES-SYPA for higher assistance up to USD 2000 (2022)
  • IES-SYPA 3M Video contest 2022 winner (IEEE Industrial Electronics Society - Student & Young Professionals) (2022)
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Corso di laurea magistrale

  • Sistemi robotici. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
  • Sistemi robotici. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
  • Sistemi robotici. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
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