Andrea Calanca

Foto1,  April 11, 2017
Position
Associate Professor
Sections
Ingegneria e Fisica
Academic sector
IINF-04/A - Systems and Control Engineering
Research sector (ERC-2024)
PE7_1 - Control engineering

PE7_10 - Robotics

Research sector (ERC)
PE7_1 - Control engineering

PE7_10 - Robotics

Telephone
+39 045 802 7847
E-mail
andrea|calanca*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Wednesday, Hours 2:00 PM - 4:00 PM,   Ca' Vignal 2, Floor -2, room S.144

Curriculum

Andrea Calanca ha conseguito la laurea in Ingegneria Informatica con lode presso l'Università di Pavia nel 2006. Per alcuni anni ha lavorato in aziende del territorio come software, DSP e control engineer e nel 2009 si è unito al Laboratorio Altair presso l'Università di Verona dove ha ricevuto il Ph.D. nel 2014 sotto la supervisione del Prof. Paolo Fiorini. Nel 2016 e 2017 ha tenuto il corso di robotica (9CFU, laurea magistrale) presso il Dipatrimento di Ingegneria dell'Informazione dell'Università di Brescia e dal 2017 è docente presso l’Università di Verona. I suoi interessi di ricerca e la docenza sono legati principalmente a robotica e teoria del controllo. Ha ideato e sviluppato algoritmi di stima e controllo per applicazioni di robotica riabilitativa, robotica assistiva, sistemi di attuazione non convenzionale, macchine industriali, home appliances e audio DSP (sintesi vocale e riverberazione artificiale). È vincitore di un premio nazionale della Società Industriale Robotica Italiana (2010) e vincitore di un concorso makers finanziato da Elettronica Open Source (2012). L’attività svolta fino ad oggi ha prodotto pubblicazioni scientifiche, brevetti, software e firmware commerciali e collaborazioni con associazioni per il sostegno alla disabilità.

Principali interessi di ricerca:
  • Progettazione di sistemi di controllo per robot, ossia degli algoritmi che permettono ai robot di muoversi (controllo di posizione o del moto) e reagire all'ambiente (controllo di forza o dell'interazione) in ambienti industriali o in applicazioni mediche o di servizio, anche mediante interfaccie non convenzionali (intefaccie neurali) 
Principali applicazioni
  • Robotica assistiva, che coaudiuva o sostituisce funzionalità motorie relative ad attività lavorative pesanti o ad attività di vita quotidiana in soggetti disabili.
  • Robotica riabilitativa, che offre aiuto nel facilitare il recupero delle funzioni motorie.
  • Robotica collaborativa, dove macchine intelligenti devono interagire con l'uomo in ambienti industriali non strutturati
  • Robotica chirurgica 

Modules

Modules running in the period selected: 26.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master's Degree in in Computer Engineering for Intelligent Systems Physical human-robot interaction (2024/2025)   6   
Master's Degree in in Computer Engineering for Intelligent Systems Robotics (2024/2025)   6  eLearning
Bachelor's degree in Human Centered Medical System Engineering System and control theory (2024/2025)   6  eLearning
Bachelor's degree in Computer Science Control theory (2023/2024)   6  eLearning
Bachelor's degree in Human Centered Medical System Engineering Introduction to Robotics for students of scientific courses. (2023/2024)   2  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Physical human-robot interaction (2023/2024)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Robotics (2023/2024)   6  eLearning
Bachelor's degree in Computer Science Control theory (2022/2023)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Physical human-robot interaction (2022/2023)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Robotics (2022/2023)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Robot programming and control (2022/2023)   6  eLearning
Bachelor's degree in Computer Science Control theory (2021/2022)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Physical human-robot interaction (2021/2022)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Robotics (2021/2022)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Robot programming and control (2021/2022)   6  eLearning
Bachelor's degree in Computer Science Control theory (2020/2021)   6  eLearning
Master's degree in Computer Engineering for Robotics and Smart Industry Robotics (2020/2021)   6  eLearning (Laboratorio)
(Teoria)
Master's degree in Computer Engineering for Robotics and Smart Industry Robot programming and control (2020/2021)   6  eLearning (Teoria)
Bachelor's degree in Computer Science Control theory (2019/2020)   6  eLearning (Laboratorio)
Bachelor's degree in Computer Science CyberPhysical Laboratory (2019/2020)   6   
Bachelor's degree in Computer Science CyberPhysical Laboratory (2018/2019)   6  eLearning
Master's degree in Computer Science and Engineering Robotics (2018/2019)   6  eLearning (Laboratorio)
(Teoria)
Bachelor's degree in Computer Science CyberPhysical Laboratory (2017/2018)   6  eLearning
Master's degree in Computer Science and Engineering System theory (2017/2018)   12    SISTEMI DINAMICI

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  • Eventi di Terza Missione: eventi di Public Engagement e Formazione Continua.
  • Insegnamenti di Terza Missione: insegnamenti che fanno parte di Corsi di Studio come Corsi di formazione continua, Corsi di perfezionamento e aggiornamento professionale, Corsi di perfezionamento, Master e Scuole di specializzazione.
Research interests
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
Projects
Title Starting date
Development of a mechatronic pointing system recorded on pre-operative images for percutaneous vertebroplasty operations 9/16/21
Development of registration algorithms and graphical user interface for percutaneous vertebroplasty procedure. 9/16/21
FORcE Control AlgorithmS Testbench (FORECAST) 3/22/19
Design of an emg-controlled upper limb robotic orthosis for muscular weakness 10/1/18
Computer Engineering for Industry 4.0 1/1/18
Analysis of estimation and load balancing algorithms in rotating washing machines, and development of estimation of load unbalance algorithms based on gyroscopic data 11/29/16
Integrazione di funzioni vocali avanzate per l'interfaccia utente di applicazioni di centrale telefonica digitale 4/1/10




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