Tracking and positioning for Industry 4.0



Daniele Fontanelli

University of Trento


Alice Buffi

University of Pisa


Accurate tracking and positioning of assets, robots and people is becoming a key enabler for Industry 4.0 applications in warehouses, logistics, retails and especially in cooperative, high dynamic production sites of the future. The set of possible location technologies in an industrial environment is really wide, as it includes radio-frequency, vision, ultrasonic, magnetic and laser sensors. A number of challenges has been hindering the deployment of accurate positioning sensing systems and techniques to date. Moreover, an accurate characterisation of the location uncertainty is strictly dependent on the employed technology and the application scenario.


The special session is focused on new positioning, tracking and navigation solutions for Industry 4.0 scenarios.
The main topics are related to:

  • Innovative localisation methods in Industry 4.0;
  • Robot navigation and tracking;
  • People tracking and positioning;
  • Localisation of static/mobile agents;
  • Ultra Wide Band localisation;
  • Tracking and positioning with Radio Frequency Identification Systems;
  • Optical localisation;
  • Ultrasonic localisation;
  • Laser localisation;
  • Magnetic sensors;
  • Wi-Fi and Bluetooth positioning;
  • Hybrid positioning methods based on data-fusion algorithms;
  • Metrics, algorithms and position measurement uncertainty.


Daniele Fontanelli received the M.S. degree in Information Engineering in 2001, and the Ph.D. degree in Automation, Robotics and Bioengineering in 2006, both from the University of Pisa, Pisa, Italy. He was a Visiting Scientist with the Vision Lab of the University of California at Los Angeles, Los Angeles, US, from 2006 to 2007. From 2007 to 2008, he has been an Associate Researcher with the Interdepartmental Research Center ``E. Piaggio’’, University of Pisa. From 2008 to 2013 he joined as an Associate Researcher the Department of Information Engineering and Computer Science and from 2014 the Department of Industrial Engineering, both at the University of Trento, Trento, Italy, where he is now an Associate Professor. He has authored and co-authored more than 160 scientific papers in peer-reviewed top journals and conference proceedings. He is currently an Associate Editor in Chief for the IEEE Transactions on Instrumentation and Measurement, an Associate Editor for the IEEE Robotics and Automation Letters and for the IET Science, Measurement & Technology Journal. From 2018 he is also an Associate Technical Program Committee Member for the IEEE/RSJ International Conference on Intelligent Robots and Systems and Senior Member of IEEE. From 2022 he is a member of IMEKO Technical Committee 17 on “Measurement for Robotics”. His research interests include localisation algorithms, wheeled mobile robot control and service robotics, real-time estimation and control.

Alice Buffi, (Senior Member, IEEE) received the B.S. and M.S. (summa cum laude) degrees in Telecommunications Engineering and the Ph.D. degree (Doctor Europaeus) in “Applied electromagnetism in electrical and biomedical engineering, electronics, smart sensors, nanotechnologies”, from the University of Pisa, Pisa, Italy, in 2006, 2008 and 2012, respectively. In 2011, she was a Visiting Ph.D. student with the Queen Mary University of London, London, U.K.. Since 2012, she has been with the University of Pisa, where she is currently an Associate Professor with the Department of Energy, Systems, Territory and Construction Engineering. She has co-authored several international journal papers and international conferences contributions, one European patent and one European patent application. Her current research topics include measurement methods to locate static or moving items through radio frequency identification (RFID) systems operating at the ultra-high-frequency (UHF) band in Industry 4.0 scenarios. Besides, she has interests in classification methods for smart gates and smart storage systems and ageing process in battery cells. She was a recipient of the Best Paper Award at the IEEE RFID-TA 2019 International Conference and of the Young Scientist Award from the International Union of Radio Science, Commission B, in 2013 and 2016. She serves as an Associate Editor for the IEEE Transactions on Instrumentation and Measurement and for the IEEE Journal of Radio Frequency Identification. She also serves as Chair of the IEEE CRFID’s Technical Committee on Motion Capture and Localization (IEEE TC-MoCap).

Technical Sponsors

Italy Section
IEEE Instrumentation and Measurement Society
Italy Section SEN Chapter
Italy (North) Section IE/IA/PEL Joint Chapter
Italy Section SMC Chapter
Italy Section C Chapter
Italy Section EMB Chapter
Italy Section IM Chapter

Financial Sponsor


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