
Skill
i4h-workflow-dataset-teleop
record agentic environment episodes via teleoperation
Description
Record episodes for an agentic env via teleoperation (keyboard, SO-ARM leader, or VR) into HDF5. Use when the user wants to teleop or record human demos.
SKILL.md
i4h Workflow — Teleop Record
Purpose
Record episodes for an agentic env via teleoperation (keyboard, SO-ARM leader, or VR) into HDF5. Use when the user wants to teleop or record human demos.
Base Code
These steps drive the i4h-workflows base code (the workflows/agentic/ tree). To reuse an existing checkout, set I4H_WORKFLOWS to its path (no clone happens). Otherwise this resolves the current repo, or clones to ~/i4h-workflows — pick that default without prompting. Run every command below from the resolved root:
# Resolve the i4h-workflows base code (provides workflows/agentic/).
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/agentic" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/i4h-workflows}"
[ -d "$ROOT/workflows/agentic" ] || git clone https://github.com/isaac-for-healthcare/i4h-workflows "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"; cd "$ROOT"
Basics
- Env config (source of truth):
workflows/agentic/config/environments/<env>.yaml—robot.type,zenoh.camera_names, and the task for<env>. - Teleop runs through
arena/run.sh --teleop. - Device support is env-specific. Check
arena/run.sh --env <env> --helpfor valid--teleop-devicevalues. - Do not run teleop headless unless the user explicitly asks. Teleop is a GUI/hardware handoff: launching the recorder is not the same as recording successful demos.
Controls
Reserved keys (consistent across devices):
| Key | Action |
|---|---|
B | Start episode |
N | Mark success, save, advance |
R | Discard, reset |
F | Reserved by Isaac Sim — do not bind |
Device-specific keybindings (move, rotate, gripper, mode switches) are printed by the teleop process at startup and vary by --teleop-device. Report them to the user from the log; they cannot drive the sim without them. See "Surface Device Keybindings". For keyboard_23d, the banner can print late, after scene creation and recorder setup; wait for mode/control markers such as BOTH_HANDS, HAND MODE, BASE NAVIGATION MODE, SPECIAL KEYS, or Current Mode before saying the controls are missing.
Stop from terminal:
workflows/agentic/stop.sh arena --env <env>
Known Devices
| Env | Devices |
|---|---|
scissor_pick_and_place | keyboard, so101_leader |
locomanip_tray_pick_and_place | keyboard_23d |
locomanip_push_cart | keyboard_23d |
For other envs, consult arena/run.sh --env <env> --help.
Run
Run the steps below in order. Each step is a separate bash call; variables persist in the local agent's tmux session.
Step 1 — setup
REPO_ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"; [ -d "$REPO_ROOT/workflows/agentic" ] || REPO_ROOT="$HOME/i4h-workflows"
ENV_ID=scissor_pick_and_place
RUNS_ROOT="${REPO_ROOT}/workflows/agentic/runs"
RUN_DIR="${RUNS_ROOT}/teleop_${ENV_ID}_$(date +%Y%m%d_%H%M%S)"
mkdir -p "${RUN_DIR}/data" "${RUN_DIR}/logs"
ln -sfn "${RUN_DIR}" "${RUNS_ROOT}/.latest"
Step 2 — teleop record
Use the foreground form when the human operator is ready to drive immediately and the agent can stay attached until completion:
"${REPO_ROOT}/workflows/agentic/arena/run.sh" \
--env "${ENV_ID}" \
--teleop \
--teleop-device <device> \
--episodes 3 \
--record-to "${RUN_DIR}/data/demo.hdf5" \
2>&1 | tee "${RUN_DIR}/logs/teleop.log"
If no human operator is ready, do not fake demos and do not leave a teleop process behind. You may launch long enough to confirm the visible GUI, recorder, and controls, then stop cleanly and report that recording is waiting on a human operator.
Surface Device Keybindings
The teleop process prints its keybinding table to stdout shortly after launch (look for sections such as Keybindings, Controls, Key Map, BOTH_HANDS, HAND MODE, BASE NAVIGATION MODE, SPECIAL KEYS, WORKSPACE LIMITS, Current Mode, mode-switch lines, or any block enumerating keys/actions). Wait for the table to appear, extract it from the log, and report it to the user before they need to drive the sim.
# After launching teleop and tailing the log:
for i in $(seq 1 180); do
if grep -qiE 'Keybind|Controls|Key Map|BOTH_HANDS|HAND MODE|BASE NAVIGATION MODE|SPECIAL KEYS|WORKSPACE LIMITS|Current Mode|Mode\] Switched|run complete|Traceback|Error' "${RUN_DIR}/logs/teleop.log" 2>/dev/null; then
break
fi
sleep 1
done
grep -n -A80 -E 'Keybind|Controls|Key Map|BOTH_HANDS|HAND MODE|BASE NAVIGATION MODE|SPECIAL KEYS|WORKSPACE LIMITS|Current Mode|Mode\] Switched' "${RUN_DIR}/logs/teleop.log" | head -120
If the block is multi-section (e.g. BOTH_HANDS, BASE_NAV, LEFT_HAND, RIGHT_HAND modes), include every mode in the report. Append the reserved keys above so the user has one consolidated reference.
Notes
--record-tomust be absolute. The recorder resolves relative paths againstworkflows/agentic/arena(its CWD) and writes to a nested orphan dir.${RUN_DIR}/data/demo.hdf5built from${REPO_ROOT}is absolute.- Use
--save-all-episodesonly when failed attempts must be kept. - If the prompt asks "Run teleop for N episodes" and no human/operator input is available, launch the visible recorder only for readiness/control verification, stop it cleanly, and report that no demos were recorded; do not claim N episodes were recorded.
Verify
${RUN_DIR}/data/demo.hdf5exists.- Log contains
run complete: N/M episodes succeeded, and N must equal the requested episode count before reporting success. A tiny HDF5 with0/M episodes succeededis only a failed/empty recording artifact, not a usable dataset. - Before final response, verify no unintended teleop process is left running unless the user explicitly asked to keep it open.
Prerequisites
- Workflow set up via [[i4h-workflow-setup]] (the
.venvmust exist). - A valid env id and a
--teleop-deviceit supports (see Known Devices orarena/run.sh --env <env> --help). - The chosen teleop device available (keyboard, SO-ARM leader, or VR).
- An absolute
--record-toHDF5 path (relative paths resolve againstarena's CWD).
Limitations
- Device support is env-specific; not every device works with every env.
--record-tomust be absolute or the recording lands in a nested orphan dir.- By default only successful episodes are saved; use
--save-all-episodesto keep failed attempts. - Device-specific keybindings are only printed at startup; they cannot be known before launching.
Troubleshooting
- Error:
.venvnot found / teleop fails to launch - Cause: workflow not set up. Fix: run [[i4h-workflow-setup]] first. - Error: invalid
--teleop-devicefor env - Cause: device not supported by that env. Fix: pick a value fromarena/run.sh --env <env> --help(or Known Devices). - Error: HDF5 written to an unexpected/nested location - Cause:
--record-towas relative. Fix: pass an absolute path built from${REPO_ROOT}. - Error: keybindings missing / cannot drive the sim - Cause: the device keybinding table was not surfaced. Fix: extract the table from the log before the operator starts driving (see Surface Device Keybindings).
- Error: run exits with
0/N episodes succeeded- Cause: no human/operator completed episodes. Fix: record successful source demos with an operator; do not continue to mimic/convert/finetune from an empty HDF5.
Final Response
Report env, device, the device-specific keybinding table extracted from the log, requested vs saved episodes, HDF5 path, log path.
More skills from the skills repository
View all 305 skillsaccelerated-computing-cudf
accelerate data processing with cuDF
Jul 14Data AnalysisData EngineeringNVIDIAPerformanceaiq-deploy
deploy and manage NVIDIA AI-Q infrastructure
Jul 14DeploymentInfrastructureNVIDIAaiq-research
conduct deep research with AI-Q
Jul 14AgentsNVIDIAResearchamc-run-sample-calibration
run AMC sample dataset calibration
Jul 17Data AnalysisNVIDIATestingamc-run-video-calibration
calibrate video datasets with AutoMagicCalib
Jul 17AutomationImagingNVIDIAVideoamc-setup-calibration-stack
deploy AutoMagicCalib microservice with Docker
Jul 17DeploymentDockerNVIDIAOperations
More from NVIDIA
View publishernemoclaw-user-guide
retrieve NemoClaw documentation and configuration
NemoClaw
Jul 20DocumentationMCPSearchmcore-build-and-dependency
manage Megatron-LM development environments
Megatron-LM
Jul 27ContainersDeploymentPythonmcore-bump-base-image
update NVIDIA PyTorch base images
Megatron-LM
Jul 14CI/CDDeploymentmcore-cicd
manage CI/CD pipelines for Megatron-LM
Megatron-LM
Jul 27CI/CDDeploymentGitHubmcore-create-issue
investigate CI failures and create issues
Megatron-LM
Jul 14DebuggingGitHubTriagemcore-linting-and-formatting
lint and format Megatron-LM code
Megatron-LM
Jul 14Best PracticesCode Analysis