Machine learning and evolutionary techniques in interplanetary trajectory design
1 version
CS
Christopher Sprague
cs.ROcs.AIcs.LGcs.SYeess.SYcs.NEalgae farmAUVbehavior treesfield testing
On Valency
published · living versionsPreprints & journals
13 papers in the corpus · 2018–2026Reliability of Probabilistic Emulation of Physical Systems
0 citations
Energy-Based Flow Matching for Generating 3D Molecular Structure
0 citations
Stable Autonomous Flow Matching
0 citations
An Extended Convergence Result for Behaviour Tree Controllers
0 citations
A System for Autonomous Seaweed Farm Inspection with an Underwater Robot.
29 citations
Behavior Trees in Robot Control Systems
58 citations
Fully-probabilistic Terrain Modelling with Stochastic Variational Gaussian Process Maps
0 citations
Continuous-Time Behavior Trees as Discontinuous Dynamical Systems
11 citations
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM
31 citations
Learning Dynamic-Objective Policies from a Class of Optimal Trajectories
3 citations
Improving the Modularity of AUV Control Systems using Behaviour Trees
54 citations
Adding Neural Network Controllers to Behavior Trees without Destroying Performance Guarantees
22 citations
Machine learning and evolutionary techniques in interplanetary trajectory design
63 citations
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