Boris Benedikter, Ph.D.
Advancing safe, intelligent, and verifiable autonomy for next-generation aerospace and robotic systems.
I am a Postdoctoral Research Associate at the University of Arizona, where I develop methods for trustworthy aerospace autonomy by combining the mathematical rigor of control theory with the adaptability of modern AI. My research unifies optimal control, convex optimization, and machine learning to design autonomous spacecraft, rockets, UAVs, and robotic systems that operate safely and reliably in uncertain and dynamic environments.
Research
Explore my work on convex optimization, stochastic control, and AI-driven Guidance, Navigation, and Control (GNC) for aerospace and robotic systems.
Publications
Browse my papers on trustworthy autonomy, spacecraft attitude estimation, and space domain awareness.
Teaching
Learn about my teaching philosophy, experience, and commitment to preparing the next generation of engineers.