Davide Scaramuzza

Professor and Director of the Robotics and Perception Group


Short Biography


Davide Scaramuzza

Davide Scaramuzza (Italian) is Professor of Robotics and Perception at both departments of Informatics (University of Zurich) and Neuroinformatics (University of Zurich and ETH Zurich), where he does research at the intersection of robotics, computer vision, and neuroscience. Specifically he investigates the use of standard and neuromorphic cameras to enable autonomous, agile, navigation of micro drones in search-and-rescue scenarios.

He did his PhD in robotics and computer vision at ETH Zurich (with Roland Siegwart) and a postdoc at the University of Pennsylvania (with Vijay Kumar and Kostas Daniilidis). From 2009 to 2012, he led the European project sFly, which introduced the PX4 autopilot and pioneered visual-SLAM-based autonomous navigation of micro drones.

For his research contributions in vision-based navigation with standard and neuromorphic cameras, he was awarded the IEEE Robotics and Automation Society Early Career Award, the SNSF-ERC Starting Grant, a Google Research Award, KUKA, Qualcomm, and Intel awards, the European Young Research Award, the Misha Mahowald Neuromorphic Engineering Award, and several conference paper awards.

He coauthored the book "Introduction to Autonomous Mobile Robots" (published by MIT Press; 10,000 copies sold) and more than 100 papers on robotics and perception published in top-ranked journals (TRO, PAMI, IJCV, IJRR) and conferences (RSS, ICRA, CVPR, ICCV).

In 2015, he cofounded a venture, called Zurich-Eye, dedicated to the commercialization of visual-inertial navigation solutions for mobile robots, which later became Facebook-Oculus Switzerland and Oculus' European research hub. He was also the strategic advisor of Dacuda, an ETH spinoff dedicated to inside-out VR solutions, which later became Magic Leap Zurich.

Many aspects of his research have been prominently featured in wider media, such as The New York Times, BBC News, Discovery Channel, La Repubblica, Neue Z�rcher Zeitung and in technology-focused media, such as IEEE Spectrum, MIT Technology Review, Tech Crunch, Wired, The Verge.

FOR A DETAILED BIOGRAPHY CHECK OUT HERE.


Contributions

Davide Scaramuzza is most known for:

  • (1) his pioneering contributions to event-camera-based algorithms for mobile robots. 2014, 2017. Link to the research page.
  • (2) his pioneering contributions to visual-inertial-SLAM-based autonomous navigation of micro drones. ICRA'10 paper.
  • (3) inventing the 1-point RANSAC algorithm, an effective and computationally efficient (1000 times faster) reduction of the standard 5-point RANSAC for visual odometry, when the vehicle motion is non-holonomic. IJCV'11 paper.
  • (4) authoring the open-source Omnidirectional Camera Calibration Toolbox for MATLAB (OCamCalib), which is also used at NASA, Philips, Bosch, and Daimler. LINK. The toolbox is also part of the Matlab Computer Vision Toolbox.


In the Press (full list here)

09.01.2020 New York Times

"A drone from the University of Zurich is an engineering and technical marvel..." (full article)


13.08.2019 BBC News

Drones are able to change their shape while flying [ Link ]

29.05.2019 BBC

Tech gives drone the ability to avoid mid-air crashes [ Link ]

21.04.2015BBC

"Drones Under Control" [ Link ]


16.05.2019 La Repubblica

L'intervista - Davide Scaramuzza: "Ma devono imparare a muoversi da soli" [ Link ]

14.12.2018 La Repubblica

Droni con 'ali pieghevoli' per passare ovunque[ Link ]

14.02.2018La Repubblica

Tra alberi e palazzi ora il drone fa lo slalom [ Link ]


27.07.2019Neue Zurcher Zeitung

"In der Forschung zu autonom fliegenden Drohnen spielt die Uni Z�rich weltweit an vorderster Front mit. Jetzt kann sich deren Robotics-Team an einem internationalen Drohnenrennen in den USA beweisen" [ Link ]

30.08.2018Neue Zurcher Zeitung

"Wie Robotikprofessor Scaramuzza Erdbebenopfern mit Drohnen helfen will [ Link ]

24.01.2018Neue Zurcher Zeitung

"So kommen Drohnen sicher durch die Stadt" [ Link ]


13.05.2019 IEEE Spectrum

"Event Camera Helps Drone Dodge Thrown Objects" [ Link ]

13.12.2018IEEE Spectrum

"Foldable Drone Changes Its Shape in Mid-Air" [ Link ]

25.01.2018IEEE Spectrum

"AI-Powered Drone Mimics Cars and Bikes to Navigate Through City Streets" [ Link ]


09.12.2016MIT Technology Review

"Watch This Robotic Quadcopter Fly Aggressively Through Narrow Gaps"[ Link ]


27.06.2018Wired

Drones Just Learned to Fly Solo, Which Means Pro Racers May Soon Meet Their Match [ Link ]

11.02.2016Wired

"This drone uses AI to find its way through a forest"[ Link ]

Video Highlights

Jan 14, 2020

High speed and HDR video reconstruction with event cameras (T-PAMI paper).

February 1, 2019

Drone dodging fast moving objects by using event camera (RAL'19 paper).

December 13, 2018

The foldable drone (RAL'18 paper).

October 16, 2018

Autonomous racing racing (ICRA'19 paper).

September 27, 2016

Check out our work on agile quadrotor flight through narrow gaps with onboard sensing and computing: More info here.


Awards


Davide Scaramuzza Davide Scaramuzza

  • 2019.10.12 - ERC (European Research Council) Consolidator Grant (2M EUR) (press release)
  • 2019.05.24 - ICRA 2019 workshop on SLAM Benchmarking, Best Paper Award, PDF
  • 2019.05.22 - 2018 IEEE Robotics and Automation Letters (RAL) Best Paper Award Honorable Mention (finalist three our of 720 papers, for "Ultimate SLAM", paper, video.
  • 2019.04.09 - Drone Hero Contest 2019 - Innovative Drone for the foldable drone
  • 2018.11.01 - Conference on Robot Learning (CoRL) 2018 Best System Paper Award, PDF
  • 2018.10.03 - IROS 2018 Autonomous Drone Race 1st place winner
  • 2018.05.14 - IEEE Transactions on Robotics (T-RO) Best Paper Award, PDF, Press coverage
  • 2018.05.10 - Qualcomm Innovation Fellowship for Henri Rebecq (40k Euros)
  • 2018.03.14 - EURobotic Georges Giralt PhD Thesis Award finalist for Dr. Christian Forster)
  • 2017.09.27 - IROS 2017 Autonomous Drone Race 2nd place winner
  • 2017.09.27 - IROS 2017 Safety Security and Rescue Robotics Paper Award finalist
  • 2017.07.01 - Intel Network of Intelligent System Award (170k USD)
  • 2017.06.01 - RSS' 17 Best Student Paper Award Finalist
  • 2017.06.01 - Misha Mahowald Prize for Neuromorphic Engineering, for our "pathbreaking applications of neuromorphic engineering to robot navigation"
  • 2017.03.01 - EU Robotics Transfer Award to Fotokite
  • 2016.05.12 - Qualcomm Innovation Fellowship for Elias Mueggler (40k Euros)
  • 2016.10.01 - IROS'16 Best Application Paper Finalist
  • 2016.09.20 - BMVC'16 Best Industry Paper Award
  • 2016.03.30 - AAAI Video Award nomination
  • 2015.06.01 - RSS'15 Best Paper Award finalist!
  • 2014.11.21 - SNSF-ERC Starting Grant (1.5 million EUR for 5 years)
  • 2014.06.01 - IEEE Robotics and Automation Society Early Career Award for my "major contributions to robot vision and visually-guided micro aerial vehicles".
  • 2014.06.01 - KUKA Innovation Award (20,000 EUR)
  • 2014.04.01 - Google Research Award
  • 2012.06.01 - European Young Researcher Award 2012 - Sponsored by EU and Euroscience
  • 2010.03.30 - Finalist of the George Giralt EURON PhD award (for the best European PhD thesis)
  • 2009.09.09 - ROBOTDALEN Scientific Award for my PhD thesis. Sponsored by EU, IEEE, ABB.
  • 2009.09.09 - European Micro Aerial Vehicle competition.
  • 2005.04.01 - FEDERCOMIN-AICA Master thesis Award (best Italian Master thesis in ICT).
  • 2004.07.02 - Best student of the year Award (800 EUR), Ternana Opera Educatrice, Terni, Italy.
  • 1998.06.01 - Finalist at the Italian Mathematical Olympiads, Cesenatico, Italy


Talks


2018


Book


I was the main author of this second edition to which I dedicated a full year of intense writing and literature research. This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners in their Master or PhD programs.


R. Siegwart, I.R. Nourbakhsh, and D. Scaramuzza

Introduction to autonomous mobile robots 2nd Edition (hardback)

A Bradford Book, The MIT Press, ISBN: 978-0-262-01535-6, February, 2011

MIT Website Book Website Buy


Patents



Event-SLAM patent

H. Rebecq, G. Gallego, D. Scaramuzza

Simultaneous Localization and Mapping with an Event Camera

Pub. No.: US 2019/0197715 A1

PDF


Event-SLAM patent

H. Rebecq, D. Scaramuzza

Visual Inertial Odometry with an Event Camera

Pub. No.: EP2018073641W�2018-09-03

PDF


Select Publications


For a full list of publications, see here or Google Scholar.


Science20_Falanga

Davide Falanga, Kevin Kleber, and Davide Scaramuzza

Dynamic Obstacle Avoidance for Quadrotors with Event Cameras

Science Robotics, March 18, 2020.

PDF Supplementary Material YouTube


High Speed and High Dynamic Range Video with an Event Camera

H. Rebecq, R. Ranftl, V. Koltun, D. Scaramuzza

High Speed and High Dynamic Range Video with an Event Camera

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.

PDF YouTube Code Project Page


TRO19_Loquercio

A. Loquercio, E. Kaufmann, R. Ranftl, A. Dosovitskiy, V. Koltun, D. Scaramuzza

Deep Drone Racing: From Simulation to Reality with Domain Randomization

IEEE Transactions on Robotics, 2019

YouTube PDF Code


EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames

D. Gehrig, H. Rebecq, G. Gallego, D. Scaramuzza

EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames

International Journal of Computer Vision (IJCV), 2019.

PDF YouTube Evaluation Code Tracking Code


A General Framework for Uncertainty Estimation in Deep Learning

J. Delmerico, S. Mintchev, A. Giusti, B. Gromov, K. Melo, T. Horvat, C. Cadena, M. Hutter, A. Ijspeert, D. Floreano, L. M. Gambardella, R. Siegward, D. Scaramuzza

The current state and future outlook of rescue robotics

Journal of Field Robotics, 2019.

PDF


RSS19_Nisar

B. Nisar, P. Foehn, D. Falanga, D. Scaramuzza

VIMO: Simultaneous Visual Inertial Model-based Odometry and Force Estimation

Robotics: Science and Systems (RSS), Freiburg, 2019

PDF


Nano-Dronet

D. Palossi, A. Loquercio, F. Conti, E. Flamand, D. Scaramuzza, L. Benini

A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones

IEEE Internet of Things Journal, 2019

Video, PDF, Code


Event-based Vision: A Survey

G. Gallego, T. Delbruck, G. Orchard, C. Bartolozzi, B. Taba, A. Censi, S. Leutenegger, A. Davison, J. Conradt, K. Daniilidis, D. Scaramuzza

Event-based Vision: A Survey

arXiv, 2019.

PDF


RAL18_Falanga

D. Falanga, K. Kleber, S. Mintchev, D. Floreano, D. Scaramuzza

The Foldable Drone: A Morphing Quadrotor that can Squeeze and Fly

IEEE Robotics and Automation Letters (RA-L), 2019.

PDF YouTube Project page


Beauty and the Beast

E. Kaufmann, M. Gehrig, P. Foehn, R. Ranftl, A. Dosovitskiy, V. Koltun, D. Scaramuzza

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.

This approach was used to win the IROS 2018 Autonomous Drone Race.

IEEE International Conference on Robotics and Automation (ICRA), 2019.

PDF YouTube


Deep Drone Racing

E. Kaufmann*, A. Loquercio*, R. Ranftl, A. Dosovitskiy, V. Koltun, D. Scaramuzza

Deep Drone Racing: Learning Agile Flight in Dynamic Environments

Conference on Robotic Learning (CoRL), Zurich, 2018.

Oral Presentation. Oral Acceptance Rate: 4.0%.

PDF YouTube


Pose tracking with an Event-based camera

G. Gallego, Jon E. A. Lund, E. Mueggler, H. Rebecq, T. Delbruck, D. Scaramuzza

Event-based, 6-DOF Camera Tracking from Photometric Depth Maps

IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, Issue 10, 2018.

PDF YouTube


Continuous-Time Visual-Inertial Trajectory Estimation for Event Cameras

E. Mueggler, G. Gallego, H. Rebecq, D. Scaramuzza

Continuous-Time Visual-Inertial Odometry for Event Cameras

IEEE Transactions on Robotics, 2018

PDF


Asynchronous, Photometric Feature Tracking using Events and Frames

D. Gehrig, H. Rebecq, G. Gallego, D. Scaramuzza

Asynchronous, Photometric Feature Tracking using Events and Frames

European Conference on Computer Vision (ECCV), Munich, 2018.

Oral Presentation. Oral Acceptance Rate: 2.4%.

PDF Poster YouTube Oral presentation


RSS18_Spica

R. Spica, D. Falanga, E. Cristofalo, E. Montijano, D. Scaramuzza, M. Schwager

A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing

Robotics: Science and Systems (RSS), Pittsburgh, 2018

PDF Video


A Unifying Contrast Maximization Framework for Event Cameras

G. Gallego, H. Rebecq, D. Scaramuzza

A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth and Optical Flow Estimation

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, 2018.

Spotlight Presentation.

PDF YouTube


3D reconstruction with an Event-based camera in real-time

A. Loquercio, A.I. Maqueda, C.R. Del Blanco, D. Scaramuzza

DroNet: Learning to Fly by Driving

IEEE Robotics and Automation Letters (RA-L), 2018.

PDF YouTube Software and Datasets


RAL18_VidalRebecq

T. Rosinol Vidal, H.Rebecq, T. Horstschaefer, D. Scaramuzza

Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios

IEEE Robotics and Automation Letters (RA-L), 2018.

Best Paper Award finalist (2nd out of 720 papers)!

PDF YouTube ICRA18 Video Pitch Project Webpage


RAL18_Faessler

M. Faessler, A. Franchi, and D. Scaramuzza

Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories

IEEE Robotics and Automation Letters (RA-L), 2018.

PDF YouTube


3D reconstruction with an Event-based camera in real-time

H. Rebecq, G. Gallego, E. Mueggler, D. Scaramuzza

EMVS: Event-Based Multi-View Stereo - 3D Reconstruction with an Event Camera in Real-Time

International Journal of Computer Vision, 2018.

PDF YouTube


BMVC17_Rebecq

H.Rebecq, T. Horstschaefer, D. Scaramuzza

Real-time Visual-Inertial Odometry for Event Cameras using Keyframe-based Nonlinear Optimization

British Machine Vision Conference (BMVC), London, 2017.

Oral Presentation. Oral acceptance Rate: 5.6%

PDF PPT YouTube Oral Presentation


IROS17_Cieslewski

T. Cieslewski, E. Kaufmann, D. Scaramuzza

Rapid Exploration with Multi-Rotors: A Frontier Selection Method for High Speed Flight

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, 2017.

IROS'17 Best Search and Rescue Robotics Paper Award Finalist!

PDF YouTube


RSS17_Foehn

P. Foehn, D. Falanga, N. Kuppuswamy, R. Tedrake, D. Scaramuzza

Fast Trajectory Optimization for Agile Quadrotor Maneuvers with a Cable-Suspended Payload

Robotics: Science and Systems (RSS), Boston, 2017.

RSS'17 Best Student Paper Award Finalist!
Oral Presentation: Acceptance Rate 4%.

PDF YouTube


AURO17_Delmerico

J. Delmerico, S. Isler, R. Sabzevari, D. Scaramuzza

A comparison of volumetric information gain metrics for active 3D object reconstruction

Autonomous Robots, April 2017

PDF YouTube Software


TRO16_costante

G. Costante, J. Delmerico, M. Werlberger, P. Valigi, D. Scaramuzza

Exploiting Photometric Information for Planning under Uncertainty

Springer Tracts in Advanced Robotics (International Symposium on Robotic Research), 2017.

PDF PDF of longer paper version (Technical report) YouTube


RAL16_Cieslewski

T. Cieslewski, D. Scaramuzza

Efficient Decentralized Visual Place Recognition Using a Distributed Inverted Index

IEEE Robotics and Automation Letters (RA-L), Vol. 2, Issue 2, pp. 640-647, Apr. 2017.

PDF


ICRA17_Falanga

D. Falanga, E. Mueggler, M. Faessler, D. Scaramuzza

Aggressive Quadrotor Flight through Narrow Gaps with Onboard Sensing and Computing using Active Vision

IEEE International Conference on Robotics and Automation (ICRA), 2017.

PDF YouTube


RSS15_Forster

C. Forster, L. Carlone, F. Dellaert, D. Scaramuzza

On-Manifold Preintegration for Real-Time Visual-Inertial Odometry

IEEE Transactions on Robotics, vol 33, no. 1, pp. 1-21, Feb. 2017.

IEEE Transactions on Robotics' Best Paper Award 2017
RSS'15 Best Paper Award Finalist!
Oral Presentation: Acceptance Rate 4%

PDF YouTube


IJRR_Majdik

A.L. Majdik, C. Till, D. Scaramuzza

The Zurich Urban Micro Aerial Vehicle Dataset

International Journal of Robotics Research, April 2017

PDF YouTube Dataset


IJRR_Mueggler

E. Mueggler, H. Rebecq, G. Gallego, T. Delbruck, D. Scaramuzza

The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM

International Journal of Robotics Research, Vol. 36, Issue 2, pages 142-149, Feb. 2017.

PDF (arXiv) YouTube Dataset


Low-Latency Visual Odometry using Event-based Feature Tracks

B. Kueng, E. Mueggler, G. Gallego, D. Scaramuzza

Low-Latency Visual Odometry using Event-based Feature Tracks

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016.

IROS'16 Best Application Paper Award Finalist! Highlight Talk: Acceptance Rate 2.5%

PDF YouTube


EMVS paper

H. Rebecq, G. Gallego, D. Scaramuzza

EMVS: Event-based Multi-View Stereo

British Machine Vision Conference (BMVC), York, 2016.

BMVC'16 Best Industry Paper Paper Award! Oral Talk: Acceptance Rate 7%

PDF YouTube


RAL16_Giusti

A. Giusti, J. Guzzi, D.C. Ciresan, F. He, J.P. Rodriguez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L.M. Gambardella

A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

IEEE Robotics and Automation Letters (RA-L), Vol. 1, Issue 2, pp. 661-667, Jul. 2016

AAAI'16 Best Video Award finalist!

PDF Project Webpage and Datasets DOI YouTube


JFR2015_Majdik

A.L. Majdik, D. Verda, Y. Albers-Schoenberg, D. Scaramuzza

Air-ground Matching: Appearance-based GPS-denied Urban Localization of Micro Aerial Vehicles

Journal of Field Robotics, 2015.

PDF YouTube Dataset


ICRA2015_Faessler

M. Faessler, F. Fontana, C. Forster, D. Scaramuzza

Automatic Re-Initialization and Failure Recovery for Aggressive Flight with a Monocular Vision-Based Quadrotor

IEEE International Conference on Robotics and Automation (ICRA), Seattle, 2015.

PDF YouTube


RSS2014_Forster

C. Forster, M. Pizzoli, D. Scaramuzza

Appearance-based Active, Monocular, Dense Reconstruction for Micro Aerial Vehicles

Robotics: Science and Systems (RSS), Berkely, 2014.

PDF


ICRA2014_Censi

A. Censi, D. Scaramuzza,

Low-Latency Event-Based Visual Odometry

IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, 2014.

PDF


ICRA2014_Forster

C. Forster, M. Pizzoli, D. Scaramuzza

SVO: Fast Semi-Direct Monocular Visual Odometry

IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, 2014.

PDF YouTube Software


ICRA2014_Pizzoli

M. Pizzoli, C. Forster, D. Scaramuzza

REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time

IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, 2014.

PDF YouTube


RAS2014_Scaramuzza

D. Scaramuzza, M.C. Achtelik, L. Doitsidis, F. Fraundorfer, E.B. Kosmatopoulos, A. Martinelli, M.W. Achtelik, M. Chli, S.A. Chatzichristofis, L. Kneip, D. Gurdan, L. Heng, G.H. Lee, S. Lynen, L. Meier, M. Pollefeys, A. Renzaglia, Roland Siegwart, J.C. Stumpf, P. Tanskanen, C. Troiani, S. Weiss

Vision-Controlled Micro Flying Robots: from System Design to Autonomous Navigation and Mapping in GPS-denied Environments.

IEEE Robotics and Automation Magazine, Vol. 21, Issue 3., 2014.

PDF


PAMI2013_Censi

A. Censi, D. Scaramuzza

Calibration by Correlation using Metric Embedding from Non-metric Similarities

IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 35, Issue 10, 2013.

PDF Supplementary Material Datasets and Source Code


IROS2013_Majdik

D. Scaramuzza

1-Point-RANSAC Structure from Motion for Vehicle-Mounted Cameras by Exploiting Non-holonomic Constraints

International Journal of Computer Vision, Volume 95, Issue 1, 2011.

PDF


IROS2013_Majdik

D. Scaramuzza, F. Fraundorfer

Visual Odometry: Part I - The First 30 Years and Fundamentals

IEEE Robotics and Automation Magazine, Volume 18, issue 4, 2011.

PDF



Hobbies


In my free time, I like playing piano and magic tricks. My passion for Magic was born at age 14. I paid my undegraduate studies working part-time as magician in restaurants, bars, and children parties, but I also did several performances on stage in public squares and theatres. Nowadays, I still play magic tricks for colleagues and friends and it has almost become a tradition during the social banquets of robotics conferences (usually ICRA and IROS) ;-) Below, you can see one of my latest show during the Scientifica Science Festival at ETH Zurich. If you would like to see more, you can check out my personal YouTube channel! But notice that, if you are looking for robot videos, then you should check out my lab's YouTube channel! Here, you can read my interview from NCCR Robotics about my hobby and how I decided to follow the academic career (LINK)!


Davide Scaramuzza

Long Biography


Davide Scaramuzza was born in Terni, Italy. He received a Master degree in Electronics and Information Engineering (2004, Summa cum Laude, adviser: Paolo Valigi), from the Dep. of Engineering, of the University of Perugia, and a PhD in Robotics and Computer Vision (2008, adviser: Roland Siegwart) from the Department of Mechanical and Process Engineering of ETH Zurich.

After a postdoc at the GRASP Lab of the University of Pennsylvania, (advisers: Vijay Kumar and Kostas Daniilidis), he was appointed Assistant Professor at the University of Zurich in 2012. He got promoted to Tenured Associated Professor in 2017 with double affiliation with the Departments of Informatics (University of Zurich) and the Dep. of Neuroinformatics (University of Zurich and ETH Zurich).

His research lies at the intersection of Robotics, Computer vision, and Neuroscience. Specifically, he investigates the use of standard, event cameras, and inertial sensors to enable autonomous navigation of micro drones in challenging real-world scenarios, such as remote inspection and search and rescue after natural disasters. These scenarios bring up fundamental robotic problems, which are currently unsolved by the worldwide research community, but also touch him personally: he comes from the center of Italy, which is most affected by earthquakes (link).

From 2009 to 2012, he led the European project sFly, which pioneered visual-inertial autonomous drone navigation in GPS-denied environments ([Bloesch, ICRA'10]) and led to the development of the PX4 autopilot (developed by Lorenz Meier), today a standard tool in over half a million hobby and commercial drones.

Davide Scaramuzza is recognized as a world expert in drone navigation and state-estimation with both standard cameras, event cameras, and inertial sensors. To promote research development in these fields, he has edited 3 journal special issues, has organized 6 international workshops on visual navigation of drones and 2 international workshops on event-based vision.

For his research contributions, he has received several distinctions, such as an SNSF-ERC Starting Grant, Google, KUKA, Qualcomm, DARPA, and Intel grants and awards, the Misha Mahowald Neuromorphic Engineering Award, and the prestigious IEEE Robotics and Automation Society Early Career Award, which represents the highest recognition for early-career achievements by the IEEE Robotics and Automation Society. He has also been invited to speak at prestigious conferences, international workshops, and universities (full list in his CV).

He has published over 100 scientific articles (link) in top-ranked robotics and computer vision journals and conferences (PAMI, TRO, IJRR, IJCV, JFR, ICRA, IROS, RSS, CVPR, ICCV) and has released over ten Open Source software packages. His publications have been cited over 12,000 times (Google Scholar). His Google Scholar H-index is 41.

He co-authored the second edition of the book "Introduction to Autonomous Mobile Robots", published by MIT Press in 2011. This book has sold over 10 thousand copies worldwide and is among the most used textbooks for teaching mobile robotics in universities.

He has served as a consultant for the United Nations (UN) International Atomic Energy Agency (IAEA) Fukushima Action Plan on Nuclear Safety, and several drone and computer-vision companies, to which he has also transferred research results for product development. He also has entrepreneurial achievements. In 2015, he co-founded Zurich-Eye (financed through the technology incubator Wyss-Zurich), dedicated to the commercialization of visual-inertial navigation solutions for mobile robots. Zurich-Eye is today Facebook-Oculus Zurich (English, German, recent news). Davide Scaramuzza was also the strategic advisor of Dacuda, dedicated to inside-out VR solutions, which today is Magic Leap Zurich.

Many aspects of his research have been prominently featured in the popular press, such as Discovery Channel, BBC, NBC News, several national and international newspapers and TV channels (full list).



Contact


Address: University of Zurich, Andreasstrasse 15, Office 2.10, 8050 Zurich, Switzerland
Email: sdavide (at) ifi (dot) uzh (dot) ch (NB: for INTERNSHIP, PhD, and Postdoc applications, please read below)
Phone: +41 44 635 24 09


  • INTERNSHIP applications: If you are seeking an internship in my lab you need to be enrolled in a Master program in your university. Applications from Bachelor students will not be answered. If you are a Master student and you wish to apply, please send me: 1) Your CV; 2) Transcripts of your Bachelor and Master grades; 3) a 2-page proposal containing: a) a description of the project you intend to do in my lab which is relevant to my research; b) comments on your experience in the area; c) related work, and d) a timeline of the project from the start to the end. Please make sure everything fits in two A4 page. Please do not send me reminders asking me the status of your application. I will never answer. I will answer only in case of positive feedback.
  • PhD and Postdoc applications: check out my open positions here. Please notice that unsolicited applications will not be answered.