Assegnista di Ricerca
Dipartimento di Elettronica e Telecomunicazioni (DET)
Borsista (BE)
Studenti, Didattica e Internazionalizzazione (STUDI)
Docente esterno e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)
Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35o cycle (2019-2022)
Dipartimento di Elettronica e Telecomunicazioni (DET)
- Componente Gruppo Lavoro Osservatorio di Genere
- Componente Scuola di Dottorato
Profilo
Dottorato di ricerca
Titolo della tesi
Robots learn to behave: improving human-robot collaboration in flexible manufacturing applications
Argomento di ricerca
Robots learn to behave: improving human-robot collaboration in flexible manufacturing applications
Tutori
Research presentation
Interessi di ricerca
Biografia
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
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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: https://robotics-summerschool.ethz.ch/Sito web
ETH Robotics Symposium: https://center-for-robotics.ethz.ch/symposium.html (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)
https://iten.ieee-ies.org/announcement/2022/44-talented-students-and-young-professionals-awarded-at-iecon-2022/ (2022)
Didattica
Insegnamenti
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
Pubblicazioni
Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris
- CEN CHENG, PANGCHENG DAVID; Indri, Marina; Possieri, Corrado; Sassano, Mario; Sibona, ... (2023)
Path planning in formation and collision avoidance for multi-agent systems. In: NONLINEAR ANALYSIS, vol. 47. ISSN 1751-570X
Contributo su Rivista - Cen Cheng, Pangcheng David; Sibona, Fiorella; Indri, Marina (2022)
A framework for safe and intuitive human-robot interaction for assistant robotics. In: 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2022), Stuttgart (Germany), September 6-9, 2022. ISBN: 978-1-6654-9996-5
Contributo in Atti di Convegno (Proceeding) - Cen Cheng, Pangcheng David; Indri, Marina; Sibona, Fiorella; De Rose, Matteo; Prato, ... (2022)
Dynamic Path Planning of a mobile robot adopting a costmap layer approach in ROS2. In: 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2022), Stuttgart (Germany), September 6-9, 2022. ISBN: 978-1-6654-9996-5
Contributo in Atti di Convegno (Proceeding) - Sibona, Fiorella; Cen Cheng, Pangcheng David; Indri, Marina (2022)
How to improve human-robot collaborative applications through operation recognition based on human 2D motion. In: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels (Belgium), 17-20 October 2022. ISBN: 978-1-6654-8025-3
Contributo in Atti di Convegno (Proceeding) - Sibona, Fiorella; Indri, Marina (2021)
Data-driven framework to improve collaborative human-robot flexible manufacturing applications. In: IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 13-16 Oct. 2021. ISBN: 978-1-6654-3554-3
Contributo in Atti di Convegno (Proceeding)