German Ros: Accomplishments and Challenges in Autonomous Systems Simulation

Abstract: This talk describes the critical role that that simulation is playing in the area of autonomous systems. We will present recent successful cases where simulation has enabled the development and validation of better autonomous systems (e.g. autonomous vehicles) and will explain the particular elements that made this possible. This talk will also cover the challenges ahead of us, and the quest to make simulation a “commodity” for everybody.  

Bio: German Ros serves as the head of the Autonomous Agents Lab at Intel. German is passionate about creating autonomous systems that can operate in the physical world at scale, showing intelligence, dexterity, and safe behaviors. In order to fulfill this goal, he focuses on problems at the intersection of machine learning, computer vision, computer graphics, simulation for AI, 3D geometry, and autonomous systems. German is a strong open-source advocate, and as part of his career, he has led top-tier open-source projects such as the CARLA Autonomous Driving simulator, and the Open3D library.