Paolo Bevilacqua received his PhD in Informatics and Communication Technologies at the University of Trento, Italy, in 2019, and his master degree in Informatics at the University of Trento, 2015. He is attending the third year of PhD in Informatics and Telecommunications at the University of Trento. During the PhD he mainly focused on the development of algorithms on path-planning algorithms for mobile robots, with applications not only in the field of assistive robotics (in the context of the European project ACANTO), but also in the field of automotive and automation of warehouses. His main research focused on the development of efficient solutions for the generation of global reference trajectories to be followed by the autonomous vehicles, and local real-time re-planning of these trajectories to avoid collisions with both static and moving obstacles, allowing autonomous navigation in spaces shared with humans. During his studies he gained experience in the design, implementation and testing of software architectures, and developed an excellent knowledge of C, C ++, Java and Python programming languages.
Luigi Paolopoli is Associate Professor at the University of Trento. He received his PhD at the Scuola Superiore S. Anna in Pisa. He has written several papers on ranging from adaptive real-time scheduling solutions for soft and hard real-time systems to human-robot safe interactions, from software architectures for real-time operating systems and middleware to embedded system control with shared resources to Quality of Service management for control systems. He is currently coordinator of the Embedded Systems branch in the context of graduate studies in computing science at the DISI. In the last few years, he has been increasingly active in the area of Assisted Living. He participates in the ACUBE project (http://acube.fbk.eu), sponsored by the local governments of the Province of Trento, which is focused on ambient assisted living and was the coordinator of the FP7 EU-STREP project DALi – Devices for Assisted Living.
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, Italy, where he is now an Associate Professor. He has authored and co-authored more than 100 scientific papers in peer-reviewed top journals and conference proceedings. He is currently an Associate Editor for the IEEE Transactions on Instrumentation and Measurement 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. His research interests include human localisation algorithms, synchrophasor estimation, clock synchronisation algorithms, real-time estimation and control, resource aware control, wheeled mobile robots control and service robotics.