AE Presents: "Factor Graphs for Flexible Inference in Robot Perception and Control

Event Details
  • Date/Time:
    • Thursday October 31, 2019
      3:00 pm - 4:00 pm
  • Location: Guggenheim 442
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
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Summaries

Summary Sentence: Prof. Frank Dellaert

Full Summary: No summary paragraph submitted.

The Daniel Guggenheim School of Aerospace Engineering

invites you to hear

 

"Factor Graphs for Flexible Inference
in Robot Perception and Control" 

 

by

 

 Frank Dellaert

Professor | School of Interactive Computing
Georgia Tech

Thursday, October 31
3 - 4 p.m.
Guggenheim 442

 

About the Talk
In robotics and computer vision, simultaneous localization and mapping (SLAM) and structure from motion (SFM) are important and closely related problems. I will review how SLAM, SFM, and other problems in robotics and vision can be posed in terms of factor graphs, which provide a graphical language in which to develop and collaborate on such problems. Many of these ideas are embodied in the Skydio drones, two commercially available, fully autonomous drones I helped develop at a Bay Area startup. I'll present some of our successes as well as more recent work on robotics-centered applications, including motion planning and kino-dynamic planning.

About the Speaker
Dr. Dellaert does research in the areas of robotics and computer vision, which present some of the most exciting challenges to anyone interested in artificial intelligence. He is especially keen on Bayesian inference approaches to the difficult inverse problems that keep popping up in these areas. In many cases, exact solutions to these problems are intractable, and as such he is interested in examining whether Monte Carlo (sampling-based) approximations are applicable in those cases. Since coming to Georgia Tech Dr. Dellaert has explored the theme of probabilistic, model-based reasoning paired with randomized approximation methods in three main research areas: Advanced sequential Monte Carlo methods, Spatio-Temporal Reconstruction from Images, Simultaneous Localization and Mapping

Additional Information

In Campus Calendar
Yes
Groups

College of Engineering

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
aerospace, engineering, seminar, robotics, motion planning
Status
  • Created By: Kelsey Gulledge
  • Workflow Status: Published
  • Created On: Oct 28, 2019 - 5:09pm
  • Last Updated: Oct 28, 2019 - 5:09pm