Davide Scaramuzza




Born in Terni, Italy, in 1980, Davide received his Master's degree (2004) in Electronics and Information Engineering (Summa cum Laude and Dignity of Printing) at the University of Perugia, Italy. His Master's thesis won the Aica-Federcomin Award (Federcomin is a sector of Confindustria, the confederation of the Italian industries), the most prestigious Italian prize for Master's theses in the field of Information and Communication Technology.

After completing his Master's thesis, between October 2004 to February 2005, he did an internship at the EPFL of Lausanne, Switzerland. Afterwards, he started his PhD studies at the Autonomous Systems Lab of EPFL with Prof. Roland Siegwart. In July 2006, the Autonomous Systems Lab was moved to ETH Zurich. In February 2008, he received his PhD in Computer Vision and Robotics at ETH Zurich with his thesis: Omnidirectional vision: from calibration to robot motion estimation. His PhD advisor was Prof. Roland Siegwart and his committee members were Prof. Patrick Rives (INRIA Sophia Antipolis) and Prof. Luc Van Gool (ETH Zurich). His PhD thesis won the Robotdalen Scientific Award, which is the most prestigious award for PhD theses in the field of Robotics and Automation. The prize was supported by the European Union, the IEEE Instrumentation and Measurement Society, ABB, Volvo, and several other industries.

As of February 2008, he became a postdoctoral researcher at the Autonomous Systems Lab of Professor Siegwart at ETH Zurich. In January 2009, he became leader and project manager of the European project sFly. He will lead this project until its end in December 2011. From 2008 to 2010, he was lecturer of the Autonomous Mobile Robots Masters course. In 2009, he led a group of Bachelor and PhD students to participate in the European Micro Aerial Competition. They won the 2nd place with the first purely vision based autonomous helicopter.

In November 2009, he was invited reseracher at the Industrial Council for Scientific Research in Pretoria, South Africa, for two months. There, he worked at the Department of Modeling and Digital Sciences, MIAS Lab (Mobile Intelligent Autonomous Systems) under the direction of Dr. Simukai Utete.

In July 2009, Davide coauthored the book "Introduction to Autonomous Mobile Robots," 2nd edition, MIT Press, along with Roland Siegwart and Illah Nourbakhsh. In November 2010, after one year of intense writing and literature research, the book was submitted to MIT Press and appeared in bookstores in February 2011.

In January 2011, Davide moved to the GRASP Lab of the University of Pennsylvania for a second postdoc under the direction of Prof. Vijay Kumar and Prof. Kostas Daniilidis.

In February 2012, Davide started his position at the Unversity of Zurich as professor in Human-Oriented Robotics at the Artificial Intelligence Lab. His position is funded by the National Center of Competence of Research (NCCR) in Robotics.

Davide is also the author of the first Omnidirectional Camera Calibration Toolbox for MATLAB (online since 2006). So far, this toolbox has recorded more than 60,000 downloads, over 100 paper citations, and hundreds of acknowledgements by satisfied users from all over the world. It is currently used at NASA, PHILIPS, BOSCH, DAIMLER, and several companies like IDS Imaging, XSens, etc.

Between 2009 and 2010, he worked as a consultant of the ETH spin-off Dacuda, inventor of the world first scanner mouse, currently distributed by LG.

Davide is also a member of the IEEE community and IEEE Robotics Automation Society.

More info: http://www.ifi.uzh.ch/ailab/group/professors/davidescaramuzza.html

Customize your search:

E.g., 2017-08-19
E.g., 2017-08-19
E.g., 2017-08-19
Jun 13th 2016

Basic concepts and algorithms for locomotion, perception, and intelligent navigation. Robots are rapidly evolving from factory workhorses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks in our daily environment. The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments.

Average: 9 (2 votes)