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!

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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.

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