From Alexander von Humboldt-Stiftung:
How can we push back the limits of machine learning? And, at the same time, what limits do we need to set to robots’ autonomous decision-making to prevent them from becoming a threat. Angela Schoellig is searching for the answers. She conducts her research at the University of Toronto on robotics, controls and machine learning, working both theoretically and on practical applications: with her self-driving cars, for instance, she has won several competitions. At the Technical University of Munich she will advance the development of safer, more efficient service robots for the future. Industrial collaborations with aerospace, transport and energy companies are set to support extensive, practice-related experiments.