At Palski & Associates, our space control engineering teams are evolving the methods used to design, develop, test, document, and analyze techniques for successful satellite missions– focusing on rendezvous & proximity operations. Physics-based modeling environments are leveraged by state-of-the-art Machine Learning approaches, allowing for rapid Agent training in a myriad of mission-specific simulations. This increased productivity yields early insights and results for our engineers, allowing for tighter iteration cycles and ultimately higher quality results for our Department of War and Intelligence Community customers.
Palski & Associates’ specially trained agents are the building blocks of more autonomous satellite operations– enabling faster decision-making to operate in novel situations that maintain command & control authorities to manage mission objectives while observing space vehicle safety. Extensibility of these advanced Agents will open up new CONOPs and TTPs, leading to cooperative mission engagements and distributed operations.
These Machine Learning techniques, coupled with higher space trusted autonomy readiness levels, are capable of reshaping future satellite operations. This is just another example of how our teams are leading the way to produce the best products for our customers and advance space control boundaries.
