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UID:4619-1391@rg-aachen.gi.de
CLASS: PUBLIC
SUMMARY:Probabilistic and Deep Learning Techniques for Robot Navigation and
  Automated Driving - Prof. Burgard (Freiburg University)
DESCRIPTION:For autonomous robots and automated driving, the capability to 
 robustly perceive environments and execute their actions is the ultimate go
 al. The key challenge is that no sensors and actuators are perfect, which m
 eans that robots and cars need the ability to properly deal with the result
 ing uncertainty. In this presentation, I will introduce the probabilistic a
 pproach to robotics, which provides a rigorous statistical methodology to d
 eal with state estimation problems. I will furthermore discuss how this app
 roach can be extended using state-of-the-art technology from machine learni
 ng to deal with complex and changing real-world environments.\n\nThis event
  is held by the RWTH Center for Artificial Intelligence.\n\nThere is no vid
 eo recording.
LOCATION:Online
DTSTAMP:20250508T151348Z
DTSTART:20220120T160000Z
DTEND:20220120T170000Z
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