AIC: Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving

Thursday, January 20, 2022, 5:00pm

Public interest in ICT Focus Topics: Machine Learning for Automated Navigation and Driving pique your interest? The RWTH Center for Artificial Intelligence is pleased to announce that Professor Wolfram Burgard will give an Artificial Intelligence Colloquium (AIC for short) on Thursday. Register here to attend the colloquium!

Abstract:

For autonomous robots and automated driving, the ability to robustly perceive environments and execute their actions is the ultimate goal. The biggest challenge is that no sensors and actuators are perfect, which means that robots and cars must be able to properly deal with the resulting uncertainty. In this talk, I will introduce the probabilistic approach to robotics, which provides a rigorous statistical methodology for dealing with state estimation problems. In addition, I will discuss how this approach can be extended using state-of-the-art machine learning technologies to deal with complex and changing real-world environments.

Biography:

Wolfram Burgard is a professor of computer science at the University of Freiburg, where he heads the Laboratory for Autonomous Intelligent Systems. His interests lie in robotics, artificial intelligence, machine learning, and computer vision. He has published over 400 papers, more than 15 of which have received Best Paper Awards. In 2009, he was awarded the Gottfried Wilhelm Leibniz Prize, the most prestigious German research award. In 2010, he received an Advanced Grant from the European Research Council. In 2021, he received the IEEE Technical Field Award for Robotics and Automation. He is a Fellow of the IEEE, AAAI, EurAI, and a member of the German Academy of Sciences Leopoldina and the Heidelberg Academy of Sciences.