Approximating High Dimensional Self-Motion Manifolds via Deep Generative Models

arXiv:2609.18169 · cs.RO · Submitted 2026-09-16 · Read on arXiv

cs.RO

Submitted: 2026-09-16

Updated: 2026-09-16

Code: https://github.com/accuracy-maker/high-dimenstionalself-motion-manifold-approximation

Terminology

• Clustering — 14× in this paper · explained in 2 episodes
• Redundancy — 12× in this paper · explained in 2 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Generative Models — 5× in this paper · explained in 2 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Flow Matching — 1× in this paper · explained in 7 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• ODE Methods for Computing One-Dimensional Self-Motion Manifolds

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