dimarco
univrit
Ca' Vignal 2, piano 1, stanza 69
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CV-DiMarco_2024_09
(pdf, en, 878 KB, 12/09/24)
Roberto Di Marco's research interests include motion analysis for clinical evaluation, rehabilitation, remote monitoring of people with neurological disorders, and biomechanics of running in Paralympic athletes. His work encompasses the collection and management of data gathered via stereophotogrammetry, wearable devices (i.e., instrumented insoles, accelerometers and gyroscopes), surface electromyography and force platforms. More specifically, he is looking into the sensorimotor integration of balance and gait control in healthy ageing and during robotic rehabilitation in people with neurological diseases to unravel paraphysiological mechanisms responsible for the obtained rehabilitative outcomes. He is interested in studying new approaches to employ wearable technologies and motion capture techniques (both marker-based and markerless) to objectify clinical scales and movement both for clinical routine and for telemedicine applications. More recently he started looking at biomechanics of running in amputees sprinters, designing and developing new methods to study the kinematics and kinetics of their running.
Modules running in the period selected: 9.
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Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:
| Topic | Description | Research area |
|---|---|---|
| AI, Robotics & Automatic Control | Robotics is concerned with the development of systems that make the intelligent connection between perception and action. For this reason, robotics is strongly interdisciplinary, including mechanical and electronic design, computation and data fusion algorithms, machine learning and reasoning, and motion control and environment interaction methods. In the last years, robotics systems have matured in terms of safety and reliability and they can now work in delicate environments and in direct contact with people. In case of demanding cognitive tasks, robots are usually supported by a human operator, in a teleoperation mode. A well established example of teleoperation system is a surgical robot, in which a surgeon directly moves the robotic tools to carry out the intervention. A new research direction is the addition of autonomous functions to the robotic systems. To reach this goal, we need to improve the perceptual and cognitive capabilities of the robots, to interact safely with a complex real environment. Some of the research topics addressed at the University of Verona include: control and system theory, modeling and analysis of human perception, coordination of multiple-robot systems, distributed sensing and control algorithms, teleoperation algorithms, and analysis of the physical interaction of humans and robots. |
Robotic systems and automation
Sistemi robotici e automazione |
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