Angela Schoellig leads the Learning Systems Robotics Lab at the Technical University of Munich. Her research is focused on developing robotic systems that can seamlessly interact with the physical world. This work is particularly aimed at addressing the challenges faced by robots operating in increasingly unstructured and uncertain environments over long periods. Given the evolving nature of these situations, current robot designs often struggle, which requires the incorporation of machine learning and optimization techniques to improve the performance and safety of robotic systems. Projects under her leadership involve creating innovative robot control and learning algorithms that allow both single and multi-robot systems to operate effectively in real-world applications. She collaborates with interdisciplinary teams to tackle complex robotic challenges, and her lab is open to prospective researchers who are interested in contributing to this field.