New AFOSR Grant

We have received a new award from AFOSR.

The project focuses on two fundamental questions:

  1. How can we quantify the performance uncertainty of the learning-integrated orbit predictions?
  2. How can we fuse the newly developed machine learning (ML) approach with the classical orbit prediction? Success of this project will create performance-guaranteed learning strategies, and enhance our SSA capabilities with safer, more robust, and higher accuracy orbit predictions.

We appreciate the AFOSR for the continuous support!

Prof. Xiaoli Bai
Principal Investigators

I’m an Associate Professor in the department of Mechanical and Aerospace Engineering at Rutgers. My research interests include astrodynamics; SSA; spacecraft GNC; space robotics; UAV navigation and control.