Real policy rollouts. Films you can inspect. 3D scenes you can edit.
Watch the behavior, step through the evidence, and take the scene with you.
◉ Explore the Stress Lab · ✦ Enter the Butterfly Lab · ◐ Try the before / after · Download the demos ↓ · 中文
No account or install to watch. Preview panels show independent recorded runs.
New here? Take the three-step tour: compare a real paired outcome, inspect its native Rerun workspace, then verify the full experiment locally. The demo gallery filters policy runs, comparison experiments and 3D creation; previews play on request.
Python 3.12+ and the standard library are enough to check a real recording:
git clone https://github.com/noteflowai/robot-reel.git
cd robot-reel
# Check every trial in the paired policy experiment.
python3 -m robot_reel.cli stress docs/stress
# Check the recorded policy episode and its evidence.
python3 -m robot_reel.cli vla docs/vla
# Turn the included braking comparison into a checked storyboard.
python3 -m robot_reel.cli direct docs/compare/braking \
--plan examples/contact-storyboard.json --output artifacts/director
Cloth Lab. Release three independent Newton cloth simulations on NVIDIA L40S, changing only the bending coefficient. Orbit the deforming meshes, overlay them on the same clock, and compare measured vertex motion. Every one of the 42,471 vertex samples is retained in the source data and checked through OpenUSD and Blender.
Release the sheets ↗ · Offline experiment · Editable OpenUSD · Method, limits & reproduction
The coefficients are solver settings, not calibrated fabric properties. Colors identify cases; the page reports geometric diagnostics and preserves original float32 positions and velocities. No collisions or self-contact are modeled. The browser needs no GPU. Robot Reel 0.7.0+ includes the cloth CLI and complete offline export in its installation package. Recording new runs uses the optional Newton runtime.
The Stress Lab. SmolVLA runs the same task under reference lighting, reduced light and a shifted camera. Explore 30 real closed-loop trials across ten paired initial states. Select any outcome in the matrix, compare both policy cameras, and jump to the largest measured trajectory difference. Recorded with NVIDIA L40S / CUDA inference, with hardware and timing in every trace.
Compare the policy runs ↗ · Complete offline lab ↓ · MCAP telemetry ↓ · Open it in Foxglove · Reproduce & inspect
Share a moment for review. Export a selected pair as JSON or readable Markdown with your own note. Reopen the JSON to restore the exact source samples, or verify its recorded facts against the full local collection. Held final observations and the complete experiment's counts stay explicit. Review workflow and CLI.
The 0.7.0 offline lab includes these review tools. Download the ZIP and the sample review JSON, then follow the quick start guide. No installation is needed to replay; the matching release wheel enables independent CLI checks.
One task × three native scene conditions × ten paired seeds. Fixed budget: 160 actions / 8 simulation seconds per trial. Every trial is retained; execution errors stay in the attempt ledger. Inspect applied controls, measured state, separate inference/simulation timings and per-condition confidence intervals. This is a controlled diagnostic, not an official LIBERO benchmark score. Preview plays on simulation time; shorter runs explicitly hold their final sample.
Native Rerun inspection. Open three paired Stress Lab trials with six embedded camera videos, measured 3D end-effector paths, applied controls and policy-timing curves on one clock. The portable recording keeps the original JSON and has been read back against every source sample.
Open the Rerun workspace ↗ · Portable recording ↓ · Rebuild & verify
Selected seed 09: reference succeeds; dim lighting and the shifted camera reach the step limit. 405 observations · 41 policy calls · 6 embedded videos. The full experiment still contains 30 trials. Desktop browser recommended; the downloaded file opens locally in Rerun 0.37.2.
The Butterfly Lab. Twelve isolated Newton worlds begin at nearly identical angles. Their recorded paths become a luminous 3D time sculpture. Drag to orbit, switch to a motion overlay, and find the moment a tiny release difference becomes a 6.26 m gap.
Explore the Butterfly Lab ↗ · OpenUSD scene ↓ · Offline experiment ↓ · Reproduce & inspect
601 samples × 12 worlds. All 14,424 body poses checked in native Blender. Adjacent release offsets are 0.05°; the sweep spans 0.55°. The largest recorded gap is world 04 versus 01 (+0.15°), at 12.5 s. Sculpture depth represents time, not physical travel. Preview plays at 3.33×; the interactive replay defaults to 1×.
Drag between the original MuJoCo simulation and its Blender replay. Jump to the recorded contact, step both views together, then take the editable scene into your own project.
Drag to compare ↗ · How the samples match · Download the Blender scene
A language instruction becomes an actual SmolVLA rollout in LIBERO. Inspect both camera views, measured state and each applied control. 76 actions · one completed simulation task |
Connect an MCP agent to plan camera cuts, captions and slow motion. Build an editable film whose frames map back to the original recording. 4 camera views · all 180 source samples retained |
Record Newton physics on CPU. Explore measured poses in a browser, then open the animated OpenUSD scene in Blender to light, edit and render. 181 source samples · 362 checked body transforms |
Watch Pollen Robotics' Microduck walk with its official ONNX policy. Follow joint targets, measured responses and base motion, or compare two speed commands. 50 Hz policy · 14 joint targets and responses |
More scenes: Early vs. late braking · SO-100 arm studio · Editable braking scene
| Watch | Inspect | Reuse |
|---|---|---|
| Browser replays, synchronized views, shot navigation and frame links. | Applied actions, measured poses, recorded outcomes and source revisions. | Offline episodes, MP4s, JSON traces, editable Blender projects and OpenUSD scenes. |
The evidence travels with the demo. Validators check file hashes, timestamps, frame mappings and outcome consistency. Native Blender checks cover all 420 vehicle samples in the directed film and all 362 body transforms in the Newton import. Director check · Newton check.
The browser plays recorded simulations. The VLA example is one seeded rollout, with inference waiting time omitted; new director briefs use your connected agent and a new render. Microduck uses the XML PD-actuator fallback. Scope, provenance and asset terms.
Robot Reel is not a simulator, a training framework or a benchmark. It sits after them: it records a run from those tools, verifies the trace, and turns it into something people can watch, inspect and reuse.
| Focus | Where Robot Reel fits | |
|---|---|---|
| LeRobot | Datasets, policies and training for real and simulated robots | Runs a LeRobot policy (SmolVLA), then keeps every applied action, both cameras and the hardware/timing record as a replay |
| MuJoCo Playground, Isaac Lab | GPU-scale environments and RL training | Takes a single rollout from a simulator and makes it inspectable, comparable and editable |
| Genesis, Newton | Physics engines | Records Newton on CPU and exports the measured motion as an animated OpenUSD scene with a native Blender check |
| Rerun, Foxglove | General telemetry viewers | Publishes self-contained HTML replays, MCAP telemetry and a verified native Rerun workspace with embedded videos |
What is unique here is the chain: hash-verified traces, paired comparisons on one clock, an MCP agent that directs a Blender film from the recording, and 3D scenes whose keyframes map back to the original samples.
Choose the workflow you want to build:
| I want to… | Start here |
|---|---|
| Run paired VLA stress trials on GPU | CUDA setup, fixed experiment and evidence checks |
| Inspect paired trials in Rerun | Portable video, 3D paths and native readback |
| Run SmolVLA locally | Isolated CPU environment + pinned models |
| Let an agent direct a film | MCP setup + Blender build/render |
| Export real physics to a DCC | Newton → OpenUSD → Blender |
| Explore a physics parameter sweep | Butterfly Lab → twelve isolated worlds |
| Record Microduck, braking or the arm | Recording packs + runtime setup |
| Compare two captured runs | Comparison contract + CLI |
Contributions with a working replay and inspectable source data are welcome: new simulation adapters, measured policy comparisons, accessible viewers and editable 3D exports. Contributing · Development and checks · Issues.
Built with LeRobot, MuJoCo, Newton, Blender, OpenUSD, Strands Robots, and Pollen Robotics.
Recorder code: Apache-2.0. VLA images retain their upstream attribution and asset terms; Microduck media retains its noncommercial/share-alike terms. The cover's source mapping and media notice accompany the preview. Independent project; no upstream endorsement is implied.