Onboard autonomy is an essential component in enabling increasingly complex missions
into deep space. In nonlinear dynamical environments, computationally efficient guidance …

While human presence in cislunar space continues to expand, so too does the demand for
'lightweight'automated on-board processes. In nonlinear dynamical environments …

Autonomy is an increasingly essential component of future space missions, and new
technologies are necessary to accommodate off-nominal occurrences onboard that may …

Reinforcement learning (RL) is used to design impulsive stationkee** maneuvers for a
spacecraft operating near an L 2 quasi-halo trajectory in a Sun–Earth–Moon point mass …

This paper investigates the use of reinforcement learning for the optimal guidance of a
spacecraft during a time-free low-thrust transfer between two libration point orbits in the …

This paper investigates the use of reinforcement learning for the fuel-optimal guidance of a
spacecraft during a time-free low-thrust transfer between two libration point orbits in the …

View Video Presentation: https://doi. org/10.2514/6.2022-1764. vid Computationally efficient
guidance is challenging for stationkee** applications in nonlinear dynamical regions …

Reinforcement learning is used to plan station-kee** maneuvers for a spacecraft
operating near a Sun-Earth L2 halo orbit and subject to perturbations from momentum …

Spacecraft path-planning approaches that are capable of producing not only autonomous
but also generalized solutions promise to open new modalities for robotic exploration and …

This paper investigates the performance and computational complexity of recurrent neural
networks (RNNs) trained via meta-reinforcement learning (meta-RL) as onboard spacecraft …