A learned B-spline planner with latent sampling generates collision-aware joint trajectories on the GPU in near-millisecond time, matching analytical planners and outperforming a GPU optimization baseline.
Fast kinodynamic planning on the constraint manifold with deep neural networks,
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
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling
A learned B-spline planner with latent sampling generates collision-aware joint trajectories on the GPU in near-millisecond time, matching analytical planners and outperforming a GPU optimization baseline.