Proposes a Loewner-order matrix heuristic for direct, rejection-free informed sampling on Riemannian manifolds that reduces to standard prolate hyperspheroid sampling via Cholesky factorization.
Greedy heuristics for sampling-based motion planning in high-dimensional state spaces,
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Direct Informed Sampling on Riemannian Manifolds via Loewner Order Lower Bounds
Proposes a Loewner-order matrix heuristic for direct, rejection-free informed sampling on Riemannian manifolds that reduces to standard prolate hyperspheroid sampling via Cholesky factorization.