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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20191027T030000
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DTSTART:20190331T020000
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UID:calendar.18882.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260410T143903Z
CREATED:20191016T084354Z
DESCRIPTION:AbstractIn robotics and computer vision\, simultaneous localiza
 tion and mapping (SLAM) and structure from motion (SFM) are important and 
 closely related problems. I will review how SLAM\, SFM\, and other problem
 s in robotics and vision can be posed in terms of factor graphs\, which pr
 ovide a graphical language in which to develop and collaborate on such pro
 blems. Many of these ideas are embodied in the Skydio R1\, a commercially 
 available\, fully autonomous drone I helped develop at Skydio\, a San Fran
 cisco Bay area startup. I'll present some of our successes as well as more
  recent work on robotics-centered applications.Bio: Frank Dellaert is a pr
 ofessor in the School of Interactive Computing at the Georgia Institute of
  Technology. While on leave from Tech in 2016-2018\, he served as a techni
 cal project lead at Facebook Reality Labs. Before that\, he completed a st
 int as chief scientist at Skydio\, a startup founded by MIT grads to creat
 e intuitive interfaces for micro-aerial vehicles. Dellaert’s research inte
 rests lie in the overlap of robotics and computer vision\, and he is parti
 cularly interested in graphical model techniques to solve large-scale prob
 lems in mapping and 3D reconstruction. The GTSAM toolbox embodies many of 
 the ideas his research group has worked on in the past few years and is av
 ailable for download at https://gtsam.org
DTSTART;TZID=Europe/Paris:20191021T090000
DTEND;TZID=Europe/Paris:20191021T090000
LAST-MODIFIED:20200212T003028Z
LOCATION:A4
SUMMARY:Seminar: Factor Graphs and Distributed Inference in Robotics and Vi
 sion - Frank Dellaert
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/18882
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