On-orbit close proximity operations involve robotic spacecraft maneuveri...
Lambert's problem has been long studied in the context of space operatio...
Certain forms of uncertainty that robotic systems encounter can be expli...
Space free-flyers like the Astrobee robots currently operating aboard th...
The Koopman Operator (KO) offers a promising alternative methodology to ...
As access to space and robotic autonomy capabilities move forward, there...
Deploying large, complex space structures is of great interest to the mo...
We use Reinforcement Meta-Learning to optimize an adaptive integrated
gu...
We optimize a six degrees of freedom hovering policy using reinforcement...
Current practice for asteroid close proximity maneuvers requires extreme...
Robotic systems often operate with uncertainties in their dynamics, for
...
This paper proposes a novel adaptive guidance system developed using
rei...
We present a novel predictive model architecture based on the principles...