AFOSR Grant: Intelligent Observing Uncooperative Space Objects

We have received a new award from the “Dynamic Data and Information Processing” program at AFOSR (Air Force Office of Scientific Research). The goal of this project is to develop theoretical and computational methodologies that enable intelligent decisions from cooperative satellites on how to observe non-cooperative space objects. We propose a dynamic data driven applications systems-based framework under which the object model is refined incrementally using the sensor measurements from chaser spacecraft, while concurrently optimizing collect measurements to enhance the posterior belief about the object model.

We appreciate the AFOSR for the support!

Avatar
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.