Giovanni Gerardo Muscolo is an Assistant Professor in Mechanics of Machines at Department of Computer Science, University of Verona, Italy. His research interests include (ERC Panels: PE7_10, PE8_7, PE8_10): Micro-Mechanical Systems; Micro-Machines; Micro-Robotics; Force/Torque Sensors; Surgical Robotics; Cable-Driven Mechanisms; Compliant Mechanisms; Haptic Devices; Micro-Actuators; Micro-Fluidic Muscles.
He is the coordinator of the Course "Industrial Plants and Production Management" and the lecturer-in-charge of the module "Industrial Plants" at the master’s degree in computer engineering for robotics and smart industry (University of Verona, Italy). Dr. Muscolo collaborates with the Altair Robotics Lab in the Autonomous Robotic Surgery (ARS) ERC European Project and with the Industrial Computer Engineering (ICE) Lab, a result of the Italian Department of Excellence of Computer Science (University of Verona, Italy). Dr. Muscolo received his M.Sc. (2008) and Ph.D. (2014) in Mechanical Engineering respectively from University of Pisa and University of Genoa, Italy. He was a Research Fellow (since 2009 to 2012) and a Postdoctoral Research Fellow (since 2015 to 2017) at Sant’ Anna School of Advanced Studies, Italy. Since 2012 to 2015 he was a Research Fellow and Postdoctoral Research Fellow at University of Genoa, Italy. Since 2017 to 2018 he was a Postdoctoral Research Fellow (within the Advanced Robotics Research Line) at Istituto Italiano di Tecnologia, an English-speaking Research Institute. Since 2018 to 2021, he was an Assistant Professor in Applied Mechanics at Politecnico di Torino, Italy.
Modules running in the period selected: 5.
Click on the module to see the timetable and course details.
|Course||Name||Total credits||Online||Teacher credits||Modules offered by this teacher|
|PhD in Computer Science||Doctoral lessons (2022/2023)||50||1|
|Master's degree in Computer Engineering for Robotics and Smart Industry||Industrial Plants & Production Management (2022/2023)||9||5||INDUSTRIAL PLANTS|
|PhD in Computer Science||Embodied Mechanical Intelligence for Self-Sustainable Machines and Robots (2021/2022)||3.5||3.5|
|Master's degree in Computer Engineering for Robotics and Smart Industry||Industrial Plants & Production Management (2021/2022)||9||5||INDUSTRIAL PLANTS|
|Master's degree in Computer Engineering for Robotics and Smart Industry||Industrial Plants & Production Management (2020/2021)||9||5||INDUSTRIAL PLANTS|
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.MyUnivr
|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.||
Embedded and cyber-physical systems
|Computer Engineering for Industry 4.0||1/1/18|
|ARS - Autonomous Robotic Surgery||10/1/17|
|member||Computer Science Teaching Committee - Department Computer Science|
|member||Computer Science Department Council - Department Computer Science|