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Robotics and artificial intelligence
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.
Brief bio
After completing her university education at the University of Stuttgart (engineering cybernetics) and Georgia Institute of Technology, Atlanta, United States, German-born Schoellig gained her doctorate at ETH Zurich in 2013. She then transferred to the University of Toronto, Canada, as an assistant professor in robotics (Canada Research Chair 2019). Since summer 2020, she has held an associate professorship there, working in parallel at the Vector Institute for Artificial Intelligence in Toronto. She has already received a raft of honours and funding, most recently the Canada CIFAR AI Chair awarded by the Canadian Institute for Advanced Research. In April 2022 she took up her position as a Humboldt Professor at the Technical University of Munich (TUM).
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