145 citations · 811 across the 39 of their papers we have counts for
6 papers · 1 filter
Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and Landing
Brian Gaudet, Richard Linares, Roberto Furfaro
Future Mars missions will require advanced guidance, navigation, and control algorithms for the powered descent phase to target specific surface locations and achieve pinpoint accu…
Random Finite Set Theory and Centralized Control of Large Collaborative Swarms
Bryce Doerr, Richard Linares, Pingping Zhu +1
Controlling large swarms of robotic agents presents many challenges including, but not limited to, computational complexity due to a large number of agents, uncertainty in the func…
Data-driven framework for real-time thermospheric density estimation
Piyush M. Mehta, Richard Linares
In this paper, we demonstrate a new data-driven framework for real-time neutral density estimation via model-data fusion in quasi-physical ionosphere-thermosphere models. The frame…
A new transformative framework for data assimilation and calibration of physical ionosphere-thermosphere models
Piyush M. Mehta, Richard Linares
Accurate specification and prediction of the ionosphere-thermosphere (IT) environment, driven by external forcing, is crucial to the space community. In this work, we present a new…
A quasi-physical dynamic reduced order model for thermospheric mass density via Hermitian Space Dynamic Mode Decomposition
Piyush M. Mehta, Richard Linares, Eric K. Sutton
Thermospheric mass density is a major driver of satellite drag, the largest source of uncertainty in accurately predicting the orbit of satellites in low Earth orbit (LEO) pertinen…
Control of Large Swarms via Random Finite Set Theory
Bryce Doerr, Richard Linares
Controlling large swarms of robotic agents has many challenges including, but not limited to, computational complexity due to the number of agents, uncertainty in the functionality…