robotics
The Planner Checked the Most Suspicious Collisions First
A learned ordering sped exact narrow-phase geometry without replacing the checker.
Summary
A learned ordering sped exact narrow-phase geometry without replacing the checker.
The method predicts collision probabilities for object pairs that survive broad-phase pruning, then orders exact mesh checks to minimize expected narrow-phase time. A hypernetwork supplies the priors needed by the derived ordering criterion, while the underlying geometric decision remains unchanged. Simulations report faster collision detection and better sampling-based planning in cluttered scenes. The paper does not provide one universal speedup figure, and the learned ordering still depends on representative training conditions.
Why it matters
A learned ordering sped exact narrow-phase geometry without replacing the checker.
Limits and context
- The paper does not provide one universal speedup figure, and the learned ordering still depends on representative training conditions.
Key claims
A learned ordering sped exact narrow-phase geometry without replacing the checker.
Qualification: The paper does not provide one universal speedup figure, and the learned ordering still depends on representative training conditions.
Evidence: source-2026-09-28-016
Sources
- arXiv preprint 2609.30599arXiv · primary research
Corrections
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