A diffusion model trained on 6DoF powered-descent solutions can be composed at inference time with glideslope and risk-map energy functions to generate constrained, multi-modal landing trajectories without retraining.
Survey of Numerical Methods for Trajectory Optimization,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Diffusion Policies for Generative Modeling of Spacecraft Trajectories
A diffusion model trained on 6DoF powered-descent solutions can be composed at inference time with glideslope and risk-map energy functions to generate constrained, multi-modal landing trajectories without retraining.