Christopher Iliffe Sprague

Christopher Iliffe Sprague is a PhD student at the Robotics, Perception, and Learning Department at KTH Royal Institute of Technology, in Stockholm, Sweden. His work focuses on developing algorithms for robust, flexible, and transparent mission planning and execution. In the past, he researched using optimal control theory and deep learning for spacecraft trajectory optimisation at organisations such as the European Space Agency and Japan Aerospace Exploration Agency. His main research interests include optimal control, automated planning, and deep learning, with an emphasis on challenging remote domains.