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SUMMARY:MechE Colloquium: Autonomous Vision-based Agile Drone Flight: from
  Frames to Event Cameras
DTSTART:20191015T121500
DTEND:20191015T131500
DTSTAMP:20260408T025848Z
UID:d76ea9ee56323ce54f6dd4475d64839d053f58ef72c3048cfd2f9cef
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Davide Scaramuzza\, University of Zurich and ETH Zurich\
 nAbstract:\nAutonomous quadrotors will soon play a major role in search-an
 d-rescue and remote-inspection missions\, where a fast response is crucial
 . Quadrotors have the potential to navigate quickly through unstructured e
 nvironments\, enter and exit buildings through narrow gaps\, and fly throu
 gh collapsed buildings. However\, their speed and maneuverability are stil
 l far from those of birds and human pilots. Human pilots take years to lea
 rn the skills to navigate drones. Autonomous\, vision-based agile navigati
 on through unknown\, indoor environments poses a number of challenges for 
 robotics research in terms of perception\, state estimation\, planning\, a
 nd control. In this talk\, I will show that how the combination of both mo
 del-based and machine learning methods united with the power of new\, low-
 latency sensors\, such as event-based cameras\, allow drones to achieve un
 precedented speed and robustness by relying solely on the use of passive c
 ameras\, inertial sensors\, and onboard computing.\n \nBio:\nDavide Scara
 muzza is professor of robotics and perception at both departments of Neuro
 informatics (University of Zurich & ETH Zurich) and Informatics (Universit
 y of Zurich)\, where he does research at the intersection of robotics and 
 computer vision. He did his PhD in robotics and computer vision at ETH Zur
 ich (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 v
 isual-SLAM–based autonomous navigation of micro drones. From 2015 to 201
 8 he was part of the DARPA FLA program. For his research contributions\, h
 e was awarded the prestigious IEEE Robotics and Automation Society Early C
 areer Award\, the Misha Mahowald Neuromorphic Engineering Award\, the SNSF
 -ERC Starting Grant (equivalent to NSF Career Award)\, Google\, Intel\, Qu
 alcomm\, and KUKA awards\, as well as several conference and journal paper
  awards (e.g.\, IEEE Trans. of Robotics Best Paper Award in 2018). He coau
 thored the book “Introduction to Autonomous Mobile Robots” (published 
 by MIT Press) and more than 100 papers on robotics and computer vision. In
  2015\, he cofounded a venture\, called Zurich-Eye\, dedicated to visual-i
 nertial navigation solutions for mobile robots\, which today is Facebook-O
 culus Zurich. He was also the strategic advisor of Dacuda\, an ETH spinoff
  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 The New York Times\, Discovery Channel\, BBC\, IEEE Spect
 rum\, MIT Technology Review.\n 
LOCATION:MED 0 1418 https://plan.epfl.ch/?room==MED%200%201418
STATUS:CONFIRMED
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