UCF Team Uses Machine Learning and Computational Models to Predict Space Junk Movements and Ways to Avoid It
Making sure spacecraft don’t crash into each other or into space junk is at the center of Assistant Professor Tarek A. Elgohary’s research at UCF’s Astrodynamics and Space Robotics Laboratory. Using analytical and computational methods in addition to machine learning techniques, Elgohary and his team of students calculate the probability of collision between resident space […]