Speaker: Wolfram Burgard

Professor and Founding Chair, Department of Computer Science & Artificial Intelligence at University of Technology Nuremberg

Editor-in-Chief at IEEE Transactions on Robotics

Presentation Title: "The Challenges to Realize Embodied AI"

Date: Wednesday, April 22 at 11:00 AM

Location: Tech, M416 and Zoom

https://tinyurl.com/CRBSeminar

Abstract:

To ultimately achieve Embodied Artificial Intelligence, we need robots capable of robustly perceiving their environments and executing their actions. The key challenge is that no sensors and actuators are perfect, which means that robots need the ability to properly deal with the resulting uncertainty. Professor Burgard will discuss the opportunities of the probabilistic and deep-learning approaches to robotics and how they can be combined to get the best of both worlds. He will describe how we can utilize the potential of foundation models to even better deal with complex and changing real-world environments.

Bio:

Wolfram Burgard is a professor of Computer Science at the University of Technology Nuremberg, where he heads the research group on Robotics and Artificial Intelligence. Prior, he was a professor of autonomous intelligent systems at the University of Freiburg, Germany. From 2019 until 2021, he was VP for Automated Driving and Machine Learning at the Toyota Research Institute in Los Altos, USA. In his career, he published over 400 papers. He received multiple awards, including the IEEE Technical Field Award, the IEEE RAS Pioneer Award, and the Leibniz Prize of the German Research Foundation. He is a fellow of the IEEE, the AAAI, and the EurAI, and a member of the German Academy of Sciences Leopoldina and the Heidelberg Academy of Sciences and Humanities.