Autonomy Talks - Igor Gilitschenski: Interactive Navigation for Robust Autonomy

Autonomy Talks - 13/09/2022

Speaker: Prof. Igor Gilitschenski, University of Toronto

Title: Interactive Navigation for Robust Autonomy

Abstract: In recent years, we have seen an exploding interest in real-world deployment of autonomous systems, such as autonomous drones or vehicles. This interest was sparked by major advances in robot perception, planning, and control. However, robust operation in the “wild” remains a challenging goal. Correct consideration of the broad variety of real-world conditions requires both, better understanding of the learning process and robustifying the deployment of autonomous robots. In this talk, I will discuss several of our recent works in that space. This involves, first, discussing the challenges associated with severe weather conditions. Second, approaches for reducing real-world data requirements for safe navigation. Finally, enabling safe learning for control in interactive settings.