Courtney Savytska
Papers
1
Total Citations
4
H-Index
1
About
Courtney Savytska is a rising star in astrodynamics and autonomous space systems, whose work tackles one of the most pressing challenges in orbital robotics: the safe capture of uncooperative, spinning spacecraft. Her research lies at the intersection of deep learning, guidance and control, and real-time optimization. In her landmark 2025 paper, Savytska introduces a novel architecture that fuses lightweight deep learning vision with pseudospectral optimization to enable a robotic chaser to autonomously approach and grasp a tumbling target. This work, already garnering 4 citations in its first year, offers a computationally efficient solution that can run in real time on flight-grade hardware—a critical step toward operational debris removal and on-orbit servicing missions. By replacing traditional, computationally heavy methods with a learned perception-to-guidance pipeline, Savytska is helping to make autonomous rendezvous and capture both safer and more practical. Her contributions are especially timely as the space community grapples with growing orbital debris, and her innovative approach positions her as a key voice in the next generation of autonomous spaceflight.
Research Focus
Key Achievements
Top Papers
- 1