Distinguished Lecture: Aude Billard Interview with Aude Billard Title: Machine Learning for Real-time Robot Control with Theoretical Guarantees Lecture abstract Deployment of robots in human-inhabited environments requires allowing robots to react rapidly, robustly and safely to changes in the environment. Recent advances in machine learning to analyze and model a variety of data offer powerful solutions for real-time control. For these techniques to be efficiently deployed and endorsed, they must be accompanied with explicit guarantees on the learned model. This talk will give an overview of a variety of methods to endow robots with the necessary reactivity to adapt their path at time-critical situations. The learned control laws are accompanied by theoretical guarantees for stability and boundedness. Paucity of data is a reality in many robotics tasks. I will present methods by which robots can learn control laws from only a handful of examples, while generalizing to the entire state space. I will present a variety of applications, from dynamic manipulation in interaction with humans to reactive navigation in crowded pedestrian environments. Speaker's bio Aude Billard is full professor and head of the LASA laboratory at the School of Engineering at the Swiss Institute of Technology Lausanne (EPFL). Dr. Billard acts as the President-elect of the IEEE Robotics and Automation Society (RAS), after serving in several roles in the administrative and executive committees of IEEE RAS. Aude Billard holds a B.Sc and M.Sc. in Physics from EPFL and a Ph.D. in Artificial Intelligence from the University of Edinburgh. A. B. is an IEEE Fellow and the recipient of the Intel Corporation Teaching award, the IEEE RAS Distinguished Award, and IEEE-RAS Best Reviewer Award, the Swiss National Science Foundation career award and the Outstanding Young Person in Science and Innovation from the Swiss Chamber of Commerce. Oct 19 2023 16.00 - 18.00 Distinguished Lecture: Aude Billard Informatics Distinguished Lecture: Machine Learning for Real-time Robot Control with Theoretical Guarantees | Speaker: Aude Billard, Professor and Head of the LASA laboratory at the School of Engineering at the Swiss Institute of Technology Lausanne (EPFL) G.07, Informatics Forum
Distinguished Lecture: Aude Billard Interview with Aude Billard Title: Machine Learning for Real-time Robot Control with Theoretical Guarantees Lecture abstract Deployment of robots in human-inhabited environments requires allowing robots to react rapidly, robustly and safely to changes in the environment. Recent advances in machine learning to analyze and model a variety of data offer powerful solutions for real-time control. For these techniques to be efficiently deployed and endorsed, they must be accompanied with explicit guarantees on the learned model. This talk will give an overview of a variety of methods to endow robots with the necessary reactivity to adapt their path at time-critical situations. The learned control laws are accompanied by theoretical guarantees for stability and boundedness. Paucity of data is a reality in many robotics tasks. I will present methods by which robots can learn control laws from only a handful of examples, while generalizing to the entire state space. I will present a variety of applications, from dynamic manipulation in interaction with humans to reactive navigation in crowded pedestrian environments. Speaker's bio Aude Billard is full professor and head of the LASA laboratory at the School of Engineering at the Swiss Institute of Technology Lausanne (EPFL). Dr. Billard acts as the President-elect of the IEEE Robotics and Automation Society (RAS), after serving in several roles in the administrative and executive committees of IEEE RAS. Aude Billard holds a B.Sc and M.Sc. in Physics from EPFL and a Ph.D. in Artificial Intelligence from the University of Edinburgh. A. B. is an IEEE Fellow and the recipient of the Intel Corporation Teaching award, the IEEE RAS Distinguished Award, and IEEE-RAS Best Reviewer Award, the Swiss National Science Foundation career award and the Outstanding Young Person in Science and Innovation from the Swiss Chamber of Commerce. Oct 19 2023 16.00 - 18.00 Distinguished Lecture: Aude Billard Informatics Distinguished Lecture: Machine Learning for Real-time Robot Control with Theoretical Guarantees | Speaker: Aude Billard, Professor and Head of the LASA laboratory at the School of Engineering at the Swiss Institute of Technology Lausanne (EPFL) G.07, Informatics Forum
Oct 19 2023 16.00 - 18.00 Distinguished Lecture: Aude Billard Informatics Distinguished Lecture: Machine Learning for Real-time Robot Control with Theoretical Guarantees | Speaker: Aude Billard, Professor and Head of the LASA laboratory at the School of Engineering at the Swiss Institute of Technology Lausanne (EPFL)
