Does Evo-1 run on ROBOTIS OMX?
Capabilities
| Capability | State | Notes | Evidence |
|---|---|---|---|
| Train / fine-tune | works | ev-hub-maximellerbach-evo1-omx, ev-hub-imstevenpmwork-evo1-omx | |
| Real-robot inference | works with caveats | Remote-inference hardware run of an OMX-trained EVO1 checkpoint per LeRobot main docs; the robot is not named by the source. | ev-lerobot-main-remote-readme, ev-lerobot-main-remote-guide, ev-hub-imstevenpmwork-evo1-omx |
| Simulation inference | no verified evidence | — | |
| Teleop + record | no verified evidence | — |
Caveats
- Physical-run evidence is post-0.6.1, unreleased LeRobot main (remote-inference docs, PR #4937); no released LeRobot version documents it.
- No source names the robot for the EVO1 run: upstream lists the checkpoint imstevenpmwork/super_chatton_evo1_stage1_pro under Remote HW and says EVO1 checkpoints ran on real robots; OMX is attributed only because that checkpoint was trained solely on an omx_follower dataset.
- No task success rate, trial count or latency is published for this run.
Evidence 4 sources; the cell shows the highest tier
- T3 · community reportedhub-checkpointsource 2026-07-02verified 2026-10-25 (today)lerobot 0.5.2
config.json type=evo1 (5000 steps); train_config.json dataset imstevenpmwork/super_chatton whose meta/info.json robot_type=omx_follower (100 episodes, front + wrist cameras, 6-D action). Auto-generated card; its rollout command is a placeholder template.
https://huggingface.co/imstevenpmwork/super_chatton_evo1_stage1_pro/blob/80cd23cdd4f20ee1d4203888d5d9fa088704d8aa/README.md - T1 · upstream documentedofficial-docssource 2026-10-14verified 2026-10-25 (today)lerobot main@d3793b7e36522321c1c455f0dc4826db3793dceb
Post-0.6.1 (unreleased main) remote-inference reference: the policy-support table's 'Execution evidence' column lists imstevenpmwork/super_chatton_evo1_stage1_pro under Remote HW. It names the checkpoint, not the robot.
“Remote HW: `imstevenpmwork/super_chatton_evo1_stage1_pro`.”
https://github.com/huggingface/lerobot/blob/d3793b7e36522321c1c455f0dc4826db3793dceb/src/lerobot/remote_inference/README.md - T1 · upstream documentedofficial-docssource 2026-10-14verified 2026-10-25 (today)lerobot main@d3793b7e36522321c1c455f0dc4826db3793dceb
Post-0.6.1 (unreleased main) remote-inference user guide: states EVO1 checkpoints have run on real robots through the remote-inference path (robots not named).
“ACT, SmolVLA, XVLA, EVO1 and LaWAM checkpoints have run on real robots through this path.”
https://github.com/huggingface/lerobot/blob/d3793b7e36522321c1c455f0dc4826db3793dceb/docs/source/remote_inference.mdx - T3 · community reportedhub-checkpointverified 2026-10-24 (1d ago)
config.json type=evo1; train_config.json dataset maximellerbach/omx_pickandplace whose meta/info.json robot_type=omx_follower (50 episodes); 5000 steps.
https://huggingface.co/maximellerbach/omx_pickandplace_evo1
Evo-1 inference speed by hardware robot-independent · inference cost only
| Compute | Runtime | Precision | Cams | p50 / p95 ms | Inference | Platform | Source |
|---|---|---|---|---|---|---|---|
| Jetson Orin Nano 8GB (Super) | ONNX (split) | fp16 | 1 | 289.18 / 292.12 | 3.45 Hz | jetpack 7.2 (L4T R39.2.x, per the repo host-setup doc at this commit) · power_mode MAXN_SUPER, pinned clocks · cuda 13.2 · tensorrt 10.16.2 (system, via ONNX Runtime TensorRT EP)conditionsboard: Jetson Orin Nano Super 8 GB developer kit · os: Ubuntu 24.04 · onnxruntime-gpu: 1.24 Inference cost only; not task success. Deterministic synthetic observations, pinned MAXN_SUPER clocks. Untrained action head: measures inference cost of the EVO1 architecture only; the author marks it as never to control a robot. Author labels the precision "mixed FP16". | T3 · community reported |
| Jetson Orin Nano 8GB (Super) | TensorRT | fp16 | 2 @640x480 | 332.77 / 333.63 | 3 Hz | jetpack 7.2.1 · power_mode MAXN_SUPER, clocks pinned with jetson_clocks (GPU 1020 MHz, CPU 1728 MHz) · tensorrt 10.16.2.10conditionsboard: Jetson Orin Nano Engineering Reference Developer Kit Super (8 GB) · l4t: R39.2.1 · os: Ubuntu 24.04.4 LTS · python: 3.12.3 · desktop: running Inference cost only; not task success. 300 s run on synthetic 640x480 observations resized by the exported policy to 448x448; 32 denoising steps; latency is runtime-only over a pre-materialized observation ring. Whole-board RAM in use 2.76 GB (unified memory, desktop running). Actions were gated against the stock policy (cosine >= 0.99999) before timing. | T3 · community reported |
| Jetson Orin Nano 8GB (Super) | ONNX (split) | fp16 | 2 | 414.67 / 424.72 | 2.41 Hz | jetpack 7.2 (L4T R39.2.x, per the repo host-setup doc at this commit) · power_mode MAXN_SUPER, pinned clocks · cuda 13.2 · tensorrt 10.16.2 (system, via ONNX Runtime TensorRT EP)conditionsboard: Jetson Orin Nano Super 8 GB developer kit · os: Ubuntu 24.04 · onnxruntime-gpu: 1.24 Inference cost only; not task success. Deterministic synthetic observations, pinned MAXN_SUPER clocks. Author labels the precision "mixed FP16". System RAM 6001 MB in use. | T3 · community reported |
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