Reseach Projects:
DrapeBot project aims at creating an efficient human-robot collaboration in the draping process in the industry. The robot is supposed to assist during the transport of the large material patches and to drape in areas of low curvature. The role of the human is to drape regions of high curvature. UNIPD is developing cutting edge AI-driven human perception and task planning models in DrapeBot.
ENGINE focuses on the customization of the standard face to face educational resources for teaching technical subjects in the engineering field to meet the needs of online education. This need emerged during the COVID-19 pandemic, where many higher institutions were called to change.
SPIRIT aims to develop an “inspection skill” for robots that takes the step from programming of complex inspection tasks to configuring such tasks. This will substantially reduce the engineering costs when setting up inspection robots in industrial environments.
The eCraft2Learn project will research, design, pilot and validate an ecosystem based on digital fabrication and making technologies for creating computer-supported artefacts. The project aims at reinforcing personalised learning and teaching in science, technology, engineering, arts and math (STEAM) education and to assist the development of 21st century skills that promote inclusion and employability.
FOCUS EU project will share experiences and best-practices to stimulate the take-up of European project results and investigate how to best exploit synergies to define an approach that can also work for future clusters.
FibreMap aims at the development of an automatic quality control and feedback mechanism to improve draping of carbon fibres on complex parts by exploiting 3D image processing and autonomous scanning with a vision guided industrial robot.
ThermoBot developed a new, automatic inspection process for crack detection.
The technology is based on an autonomous inspection robot that exploits thermography to detect and classify cracks. A heating system induces the heat flow on the inspected part. Cracks become visible as a significant discontinuity in heat flow.
Emanuele Menegatti is Full Professor of University of Padua.
Menegatti is teaching "Intelligent Robotics", "Python Programming and Data Scructures" and “Educational Robotics for teachers”.
His research interests are in the field of Robot Vision and Neurorobotics. In particular, he has been working on omnidirectional vision, on distributed vision systems, on 2D and 3D industrial robot vision, and on RGB-D vision algorithms for mobile robots.
Menegatti was Coordinator of the European project Thermobot and Local Investigator for the European Projects 3DComplete, FibreMap, and Focus, eCraft2Learn, SPIRIT, and DrapeBot. He has been Principal Investigator of several other research grants.
In 2005, Menegatti was a founding partners of a spin-off of the University of Padua: IT+Robotics srl and in 2014 of a start-up called EXiMotion srl.
Menegatti published more than 40 journal papers, more than 180 conference papers, 3 books, 4 book chapters, and two industrial patents.
For an autonomously generated publication list go to
my Google Scholar web page.
Take a look at my lab’s website for up-to-date information on my projects and on my publications:
Intelligent Autonomous Systems Laboratory (IAS-Lab)
I am Associated Editor for the international journals:
- "Robotics and Autonomous Systems" by Elsevier;
- “IPSJ Transactions on Computer Vision and Applications” by Springer;
- "Frontiers in Neurorobotics" by Frontiers.
In case you are interested, you can have a look at my
Curriculum Vitae et Studiorium (last updated in August 2021)
In 2021, I am Program Chair for ECMR 2021 (European Conference on Mobile Robotics).
Have a look at the ECMR2021 web site for information and CFP.
In 2022, I am General Co-Chair for IAS 2022 (new name for IAS-17: the 17th Intelligent Autonomous Systems Conference).
Have a look at the IAS 2022 web site for information and CFP.
In 2023, I am General Co-Chair for I-RIM 3D, 5th edition of the three-days event on Robotics and Intelligent Machines.
Have a look at the I-RIM 3D 2023 web site for information and CFP.