Trajectory Planning without Trajectory Data: A Manifold-Guided Approach
Overview
Ariadne uses manifold learning to plan trajectories without data, generalizing to new start-goal pairs and competing with supervised methods.
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- arXiv Robotics — research abstractsTrajectory Planning via Manifold Learning
Ariadne learns state-space manifolds for trajectory planning without trajectory data. It generalizes to unseen start-goal pairs and competes with trajectory-supervised methods.
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