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Principle:Google deepmind Mujoco BVH Acceleration

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Google DeepMind MuJoCo Geometry, Acceleration Structures 2025-02-15

Overview

Description: Bounding volume hierarchy (BVH) construction and traversal for accelerating ray casting queries against complex scene geometry.

Context: MuJoCo uses BVH trees to efficiently cull geometry that cannot intersect a given ray, dramatically reducing the number of primitive intersection tests required in scenes with many geoms.

Theoretical Basis

A bounding volume hierarchy organizes scene geometry into a tree of nested axis-aligned bounding boxes (AABBs). During ray traversal, branches of the tree whose bounding volumes are not intersected by the ray are skipped entirely. This reduces ray-geometry intersection complexity from O(n) to O(log n) on average, where n is the number of geometric primitives. MuJoCo builds the BVH during model initialization and traverses it at runtime to accelerate sensor ray casts and user-requested ray queries.

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