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Curriculum Vitae (english)
Pubblicazioni

Silvia PROIA

Dottoranda

Silvia Proia is currently pursuing a Ph.D. program, advised by Prof. Ing. Mariagrazia Dotoli, at D&C Lab in the Electrical and Information Engineering Department, Polytechnic University of Bari, Italy. Her research focus is Industry 4.0, automation, decision and control techniques for collaborative robotic systems. Silvia completed with full marks a double degree between Polytechnic University of Bari and NYU Tandon School of Engineering in “Mechanical Engineering” with major in “Mechatronics and Robotics”. During her M.Sc., she worked on biomedical devices, tele-robotics systems, signal processing and on electromyography, an innovative method to control prostheses.


Pubblicazioni

2021

  • Proia, S., Carli, R., Cavone, G. & Dotoli, M. (2021) A Literature Review on Control Techniques for Collaborative Robotics in Industrial Applications IN IEEE International Conference on Automation Science and Engineering., 591-596. doi:10.1109/CASE49439.2021.9551600
    [BibTeX] [Abstract] [Download PDF]
    One of the key enabling technologies that has made Industry 4.0 a concrete reality is without doubt collaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of safety and employees’ well-being, together with the increment of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this article presents an accurate review of the most recent and relevant papers in the related field, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and promising future developments in the context of the digital evolution. © 2021 IEEE.
    @CONFERENCE{Proia2021591,
    author={Proia, S. and Carli, R. and Cavone, G. and Dotoli, M.},
    title={A Literature Review on Control Techniques for Collaborative Robotics in Industrial Applications},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2021},
    volume={2021-August},
    pages={591-596},
    doi={10.1109/CASE49439.2021.9551600},
    note={cited By 1},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116978273&doi=10.1109%2fCASE49439.2021.9551600&partnerID=40&md5=a834d330c2d2bedcecdff62c8eaceae7},
    affiliation={Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy},
    abstract={One of the key enabling technologies that has made Industry 4.0 a concrete reality is without doubt collaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of safety and employees' well-being, together with the increment of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this article presents an accurate review of the most recent and relevant papers in the related field, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and promising future developments in the context of the digital evolution. © 2021 IEEE.},
    document_type={Conference Paper},
    source={Scopus},
    }
  • Proia, S., Carli, R., Cavone, G. & Dotoli, M. (2021) Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey. IN IEEE Transactions on Automation Science and Engineering, .. doi:10.1109/TASE.2021.3131011
    [BibTeX] [Abstract] [Download PDF]
    The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals live and work while providing a substantial influence on the manufacturing scenario. The key enabling technology that has made Industry 4.0 a concrete reality is without doubt collaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of employees’ safety and well-being, together with the increase of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this paper presents an accurate review of the most recent and relevant contributions to the related literature, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and the promising future developments in the context of the digital evolution. Author
    @ARTICLE{Proia2021,
    author={Proia, S. and Carli, R. and Cavone, G. and Dotoli, M.},
    title={Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey},
    journal={IEEE Transactions on Automation Science and Engineering},
    year={2021},
    doi={10.1109/TASE.2021.3131011},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121365732&doi=10.1109%2fTASE.2021.3131011&partnerID=40&md5=eae23f3b0dbfaf83b934942c9c0736ff},
    affiliation={Department of Electrical and Information Engineering, Polytechnic of Bari, 70126 Bari, Italy.; Department of Electrical and Information Engineering, Polytechnic of Bari, 70126 Bari, Italy (e-mail: ti.ab1651262715ilop@1651262715enova1651262715c.ana1651262715izarg1651262715)},
    abstract={The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals live and work while providing a substantial influence on the manufacturing scenario. The key enabling technology that has made Industry 4.0 a concrete reality is without doubt collaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of employees' safety and well-being, together with the increase of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this paper presents an accurate review of the most recent and relevant contributions to the related literature, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and the promising future developments in the context of the digital evolution. Author},
    author_keywords={cobots; Collaboration; collaborative robotics; efficiency.; Ergonomics; ergonomics; HRC control systems; human-robot collaboration (HRC); industrial automation; Industry 4.0; Manufacturing; Robots; safety; Safety; Service robots; Task analysis},
    document_type={Article},
    source={Scopus},
    }