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NVIDIA-Omniverse/PhysX

SkillsMP 已收集 NVIDIA-Omniverse/PhysX 中的 6 个 Skill。打开任一 Skill 可查看来源和详情。

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1 个职业分类 · 已分类 17%

已展示 6 / 6 个已收集 Skill。

职业分类
未分类
描述

Create an ovphysx instance, attach an ovstage scene, step simulation, and clean up. Use when starting a new ovphysx project, testing basic integration, or learning the minimal workflow.

原文语言:英语

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职业分类
未分类
描述

Clone one USD environment subtree into many runtime-only PhysX environments for RL-style batched simulation. Use when a caller needs replicated physics environments, clone API ordering, or target transform guidance.

原文语言:英语

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职业分类
软件开发工程师
描述

Read ovphysx simulation output with the ovstage-native output-read API when results must retain ovstage identity or write back without rebuilding paths or repacking tensors. Covers Python `PhysX.read()` / `PhysX.read_tokens()`, C `ovphysx_query()` /…

原文语言:英语

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职业分类
未分类
描述

Author USD physics content that ovphysx can load and simulate (rigid bodies, colliders, mass, physics scene). Use when creating or editing .usda or USD scenes for ovphysx, not when calling the runtime step or tensor API. Keywords USD authoring, UsdPhysics,…

原文语言:英语

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职业分类
未分类
描述

Create tensor bindings to read and write physics simulation data on CPU using numpy arrays. Use when you need to exchange simulation state (poses, velocities, joint targets) with your application via tensors.

原文语言:英语

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职业分类
未分类
描述

Read and write physics simulation data on GPU using CUDA device pointers and DLPack tensors. Use when you need GPU-to-GPU tensor exchange (no CPU staging) for high-throughput RL or robotics workloads.

原文语言:英语

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已展示 6 / 6 个已收集 Skill。