L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

scene-simulation-assets

scene-simulation-assets

Compose mjlab scenes, entities, variants, simulation configs, asset-zoo robots, and exportable MuJoCo packages.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: scene-simulation-assets description: "Compose mjlab scenes, entities, variants, simulation configs, asset-zoo robots, and exportable MuJoCo packages." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Scene, Simulation, and Assets

Use this sub-skill when the task is about mjlab scene assembly or the MuJoCo asset layer: EntityCfg, VariantEntityCfg, SceneCfg, TerrainEntityCfg, entity-level actuator attachment, SimulationCfg / MujocoCfg, asset-zoo robots, scene export, or direct mujoco.MjSpec / MuJoCo Warp model-data access.

Start Here

  • For the scene/entity/simulation object model, lifecycle order, namespacing, data access, and graph constraints, read scene-entity-simulation.md.
  • For asset-zoo robot factories, export targets, Scene.write(...), and heterogeneous mesh variants, read assets-export-variants.md.
  • For texture, material, mesh, geom, collision, light, camera, and cross-entity spec editing, read spec-editors.md.
  • For common MJCF, keyframe, mocap, namespacing, variant, export, and CUDA graph failures, read troubleshooting.md.
  • For a safe scene-export smoke check, use scripts/export_scene_smoke.py.

Core Runtime Contract

When manually constructing the runtime, follow the same order used by mjlab's manager-based environment:

from mjlab.scene import Scene
from mjlab.sim import Simulation, SimulationCfg

scene = Scene(scene_cfg, device="cpu")
sim = Simulation(
    scene.num_envs,
    SimulationCfg(),
    spec=scene.spec,
    variant_info=scene.collect_variant_info(),
    device="cpu",
)
scene.initialize(sim.mj_model, sim.model, sim.data)
if scene.sensor_context is not None:
    sim.set_sensor_context(scene.sensor_context)

Use scene.write(output_dir, zip=False) or scene.write(output_dir, zip=True) for exportable packages. For direct runtime reads, prefer entity.data and use sim.model / sim.data only when a task needs global MuJoCo IDs or fields.

Boundary Routing

  • Route action-term selection, policy-output scaling, reward/action wiring, and detailed actuator type tradeoffs to ../mdp-components/. This sub-skill only covers how actuator configs attach to an entity spec.
  • Route camera/raycast/contact sensor configuration, terrain generation presets, flat-patch sampling, and domain-randomization recipes to ../perception-terrain-randomization/. This sub-skill covers only how those objects connect to SceneCfg and Simulation.
  • Route installed export-scene CLI usage, task-registry command workflows, training, playback, and debug CLI flags to ../training-evaluation-cli/. This sub-skill is the API-internals reference for what that export command builds.
Skills enregistrées