pandasで扱う表データ処理をcuDFでGPUへ移す作業を支援します。結合・集計・CSVやParquet入出力から、結果の照合、メモリ対策、複数GPU利用まで扱います。
- 既存pandas処理を少ない変更で加速
- 結合や集計をGPUへ移したいとき
- 欠損値や並び順をpandasと照合
Isaac Sim上のUnitree G1をクラウド経由で移動させるデモを進めます。ブラウザ配信、経路検証、承認後のミッション実行と監視を扱います。
Run streamed Unitree G1 cloud-navigation demos in Isaac Sim with guarded gantry release. Use for demo, destination, Mission Control, or cleanup requests.
実行スコア 未検証
インストール方法を見るIsaac Sim上のUnitree G1を、クラウド経由で目的地へ移動させるデモを進めます。画面を表示しない配信モードで起動し、ブラウザで映像を確認します。環境の事前確認から、障害物やロボットの大きさを考慮した経路検証、Mission Controlへのミッション送信、完了監視までを扱います。
人型ロボットの移動デモを遠隔で確認したいときや、シーン内の物体を目印に目的地を選びたいときに向いています。点検用の起動や、デモが作成したリソースの後片付けにも使えます。
NVENC対応のx86_64 NVIDIA GPU、Isaac Sim 6.0、Docker方式のIsaac ROS環境、公式Webビューアーなどが必要です。仮想支持装置の解除とミッション送信には個別の明示承認が必要です。対象はシミュレーションの移動で、実機操作や物体操作は含みません。配信先は信頼できるネットワーク内に置きます。完了後も環境は稼働を続け、終了には明示的な依頼が必要です。
この紹介文は、公開されている SKILL.md をもとに AI(OpenAI Codex)が作成しました。正確な仕様は下の原文を確認してください。
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Run the public NVIDIA Isaac ROS release-4.6 Unitree G1 cloud-control workflow as an ordered integration. Default to the Isaac Sim full streaming app running headless, an interactive browser WebRTC view, and a navigation mission. Do not silently fall back to a local Isaac Sim window. Read the release-4.6 runbook before executing the workflow.
Required inputs are the request mode (bring-up, end-to-end demo, destination, or cleanup) and, before mission submission, an operator-supplied destination and movement approval. A selected suggestion supplies both for simulation. Remote missions also require confirmation that the rendered viewport is visible.
Optional or discoverable inputs are robot identity (g1_0 by default), hosts,
spawn pose, map, and installation paths. Resolve them from active demo state,
explicit operator choices, live observations, discovered installations, then
packaged defaults. Never let a default override an explicit safety boundary.
Require an x86_64 NVIDIA GPU with NVENC, Isaac Sim 6.0, the canonical Docker-mode Isaac ROS workspace, NVIDIA's official web viewer, and the release-4.6 cloud images. Use the bootstrap gate on a fresh host. If the CLI or its Docker environment is missing, follow CLI installation and Docker setup, then rerun preflight. Missing CLI installation is a recovery step, not a terminal blocker.
enable_camera_localization:=false and
use_static_tf:=true. Do not launch, configure, validate, or require Visual
SLAM, visual global localization, RealSense, D435, or camera-localization
topics; they are outside this simulated-demo path.ROS_DOMAIN_ID for Isaac Sim and every
ROS shell in a demo. Set localhost-only discovery for all demo processes as
specified in the ordered startup. Confirm that the clock and robot-description
ROS topics are
absent on that domain before startup. This prevents transient-local samples
from a previous crashed run from racing the new controller manager.MC_WORKSPACE using
the cloud workspace procedure. Generate map
and fleet configuration through the owning adapters. Resolve Compose, image
references, and supporting resources from the pinned upstream skills; never
modify their checkouts or store generated configuration in this package.Set SKILL_DIR to the absolute directory containing this loaded skill manifest,
using the skill loader's location, and preserve it in every shell invocation.
All bundled paths are relative to it; never derive them from the working directory.
Read the dependency workflow before calling another
skill's scripts. It follows the Mission Control showcase composition model:
pinned external checkouts, a persisted manifest, and parent-owned adapters.
Read each pinned upstream instruction manifest from the resolved dependency
record and follow its gates. The exact source paths and commits are disclosed in
the dependency lock.
Adapter contracts: cloud,
map,
fleet,
scene, and
installation handoff, and
ROS activation, and
mission verification.
Resolve dependencies before host preflight; resolution does not launch services:
python3 "${SKILL_DIR}/scripts/doctor.py" dependencies
Normal invocation never downloads missing skills. Explicit dependency preparation
uses dependencies --prepare only after authorization as described in the
reference. Use the linked adapters instead of guessed upstream script paths.
Follow owning-skill responsibilities for each handoff; the upstream skill remains authoritative.
| Script | Purpose | Main arguments |
|---|---|---|
scripts/doctor.py | Resolve pinned upstream scripts and write their manifest | dependencies; optional --prepare, --check-only, --json |
| scripts/prepare_cli_repository.py | Stage and verify the public APT key and fixed repository source without root | No arguments |
scripts/preflight.py | Discover and validate host, cloud, streaming, and scene-server readiness | --map; optional installation paths and --check-* gates |
scripts/guarded_gantry_release.py | Set AGILE, verify stability, release the simulated gantry, and verify unsupported balance | --allow-simulation-gantry-release; stability limits and durations |
scripts/check_runtime.py | Verify ROS clock, sensors, TF, and Nav2 lifecycle | --base-frame, --timeout |
scripts/scene_inventory.py | Inventory live-stage objects without modifying USD | injected output_path, max_objects |
scripts/suggest_navigation_missions.py | Produce occupancy- and footprint-safe object approach poses | --inventory, --map, optional robot pose |
scripts/submit_navigation_mission.py | Preview or submit a validated Mission Control route | --host, --robot, waypoints, --validated-free-space, --submit |
scripts/play_viewer.py | Focus the browser viewer and send Play only as a documented fallback | --url, browser and debug options |
Use run_script() for these helpers when the runtime exposes it; otherwise run
the bundled helper by its resolved absolute path without reconstructing it.
For a fresh host, read the bootstrap gate, run its read-only discovery first, and resolve failures in the documented ownership order. Continue only after preflight has no blocking failures. Report the exact failed observation rather than claiming a live view is available.
Read and follow the ordered startup and mission workflow in full before executing. It contains the exact commands and phase gates:
The detailed workflow is mandatory; this index does not replace its commands, startup timing, retry limits, or authorization boundaries.
Apply the readiness and troubleshooting checklist before submission and when diagnosing a failed gate.
Report these fields in order when applicable:
Support cloud-controlled navigation only in Isaac Sim release 4.6. Do not claim simulated GR00T manipulation, operate real hardware, expose unauthenticated demo endpoints publicly, replace missing owning skills, or delete shared data. Treat camera localization and real-G1 controller sequencing as separate workflows.
Keep the completed demo running by default. After a successful mission, leave the robot launch, headless Isaac Sim, browser viewer, and cloud services alive so the user can inspect the result or request another mission. Keep publishing the clickable live-stream URL in the handoff and offer an explicit stack cleanup. Do not infer cleanup from mission completion, live-view confirmation, the end of the current turn, or a request that names only one finished mission.
Clean up only on an explicit teardown request. Then read and apply the teardown procedure. Remove only resources owned by the demo run, preserve shared data and the reusable Isaac ROS container, verify the demo endpoints are closed, and invalidate the prior viewer URL.
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pandasで扱う表データ処理をcuDFでGPUへ移す作業を支援します。結合・集計・CSVやParquet入出力から、結果の照合、メモリ対策、複数GPU利用まで扱います。
NVIDIA Nemotron Voice Agentのサンプルを変更し、別のバックエンドを設けずに予約受付や患者情報の聞き取りを行う音声エージェントを作るスキル。
ライブカメラのRTSP映像をVIOSで録画し、AutoMagicCalibでカメラ校正を進めます。設定や位置合わせ資料の取り込み、進捗確認、結果取得まで扱います。
同梱の倉庫カメラ映像でAMCのカメラ校正を一通り実行し、正解データとの誤差を確認します。導入後の動作検証や、実データ投入前の確認に使えます。
録画済みの複数カメラ映像をAutoMagicCalibに送り、カメラの位置や向きを調整する処理を、プロジェクト作成から進捗確認・結果評価まで進めます。
AutoMagicCalibの自動キャリブレーション環境をDocker Composeで構築し、NGC認証からポート設定、サービスとWeb UIの起動確認まで進めます。