2020 International Conference On Computer Aided Design

The Premier Conference Devoted to Technical Innovations in Electronic Design Automation

November 2-5, 2020San Diego Mission Bay Resort

MP Associates, Inc.

WEDNESDAY November 06, 8:30am - 9:30am | Westminster IV
Probabilistic and Machine Learning Approaches for Autonomous Robots and Automated Driving
Wolfram Burgard - Toyota Research Institute
The capability to robustly perceive their environments and to execute their actions is the ultimate goal in the areas autonomous robots and automated driving. The key challenge is that there are no sensors and no actuators that are perfect, which means that robots and cars need the ability to properly deal with the resulting uncertainty. In this presentation I will provide an introduction to the probabilistic approach to robotics, which provides a rigorous statistical methodology to deal with the perception and planning. I will furthermore discuss how this approach can be extended using state-of-the-art technology from machine learning to bring us closer to the development of truly robust systems able to serve us in our every-day life.


Biography:Wolfram Burgard is VP for Automated Driving Technology at the Toyota Research Institute in Los Altos, USA. He is on leave from a Professorship for Autonomous Intelligent Systems at the University of Freiburg, Germany. His interests lie in AI and Robotics. He has made substantial contributions to several relevant problems including state estimation, navigation, localization, SLAM and mobile manipulation. For his work, Wolfram Burgard received the Gottfried Wilhelm Leibniz Prize from the Deutsche Forschungsgemeinschaft, the most prestigious German research award, and an Advanced Grant from the European Research Council. He is fellow of the AAAI, the EurAI as well as the IEEE. He currently also serves as President of the IEEE Robotics and Automation Society.