During experiments in autonomous robotics, researchers collect a lot of data about what the robot sees, what it interprets, what it thinks and what it plans to do. In order to makes sense of these data and correctly interpret the results of the experiments, one often has to come up with clever ways to visualize these data. The resulting images and animations are often insightful, occasionally fun and maybe also beautiful (at least for the eyes of nerds). This talk goes through several such examples, covering recent research topics in autonomous robotics that took place at the Dalle Molle Institute for AI in Lugano. It will also present some geeky diversions that have no real use besides visual delight.
Alessandro Giusti
SUPSI, IDSIA
Alessandro Giusti is a full professor of AI for Autonomous Robotics at SUPSI in Lugano, in the Dalle Molle Institute for Artificial Intelligence (IDSIA, USI-SUPSI). He leads a group of 10 researchers and PhD students working on self-supervised robot learning, real-world deep learning applications, and human-robot interaction. He teaches university courses at the Swiss Master of Science in Engineering (Zurich), USI (Lugano), SUPSI (Lugano), and Politecnico di Milano on Robotics, Computer Vision, Deep Learning and Data Science topics.