EXOKERN ContactBench v0.1 - Peg Insertion with Domain Randomization and Force/Torque
contactbench-forge-peginsert-v0.1 is the first domain-randomized release in the EXOKERN ContactBench series. It is kept as a historical reference release; for stable downstream references, prefer v0.1.1.
Quick Facts
| Item | Value |
|---|---|
| Episodes | 5,000 |
| Frames | 745,000 |
| Control frequency | 20 Hz |
| Format | LeRobot v3.0-compatible parquet |
| Robot | Franka FR3 |
| Simulator | NVIDIA Isaac Lab |
| Access | Gated download on the Hugging Face Hub |
| Status | Legacy first DR release |
Release Role
v0.1 expanded the baseline v0 dataset from mostly fixed conditions to a multi-layer domain-randomized collection regime. It is useful if you need continuity with earlier experiments or citations, but new work should target v0.1.1 as the semantic-versioned reference release.
| Release | Episodes | Frames | Role |
|---|---|---|---|
| v0 | 2,221 | 330,929 | Fixed-condition baseline |
v0.1 |
5,000 | 745,000 | First DR release |
| v0.1.1 | 5,000 | 745,000 | Stable reference release |
Data Schema
| Field | Shape | Description |
|---|---|---|
observation.state |
(24,) |
Collapsed policy state vector exported by the collection task |
observation.wrench |
(6,) |
End-effector wrench [Fx, Fy, Fz, Mx, My, Mz] in N / N*m |
action |
(7,) |
Normalized controller action recorded during data collection |
timestamp |
scalar | Per-frame timestamp in seconds |
frame_index |
scalar | Frame index within an episode |
episode_index |
scalar | Episode identifier |
index |
scalar | Global frame index |
task_index |
scalar | LeRobot task mapping index |
The schema matches v0.1.1. The wrench column duplicates the force/torque slice stored inside observation.state.
Domain Randomization Stack
| Layer | Parameter | Range | Mode |
|---|---|---|---|
| Geometric init | Peg x/y offset | [-8 mm, +8 mm] |
Per reset |
| Geometric init | Peg z offset | [-3 mm, +5 mm] |
Per reset |
| Geometric init | Peg roll/pitch | [-5 deg, +5 deg] |
Per reset |
| Geometric init | Peg yaw | [-10 deg, +10 deg] |
Per reset |
| Object physics | Peg mass scale | [0.7, 1.3] |
Reset / startup |
| Contact materials | Static friction | [0.2, 1.2] |
Per reset |
| Contact materials | Dynamic friction | [0.15, 0.9] |
Per reset |
| Contact materials | Restitution | [0.0, 0.3] |
Per reset |
| Robot dynamics | Stiffness scale | [0.8, 1.2] |
Per reset |
| Robot dynamics | Damping scale | [0.7, 1.3] |
Per reset |
| Runtime noise | Observation / action noise | Active in run config | Runtime |
QC Snapshot
| Metric | Value |
|---|---|
| Episodes with wrench data | 5000 / 5000 |
| Contact-like episodes | 4298 / 5000 |
| Contact-like threshold | `max( |
| Peak force quantiles (0/50/90/99/100%) | 0.04 / 8.25 / 11.98 / 14.91 / 24.26 N |
| Mean force quantiles (0/50/90/99/100%) | 0.02 / 1.65 / 5.69 / 7.78 / 9.14 N |
This QC signal is a consistency check, not a success label.
Loading
from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("EXOKERN/contactbench-forge-peginsert-v0.1")
print(ds.num_episodes, len(ds))
frame = ds[0]
print(frame["observation.state"].shape, frame["observation.wrench"].shape)
from datasets import load_dataset
ds = load_dataset("EXOKERN/contactbench-forge-peginsert-v0.1", split="train")
print(ds[0].keys())
Related Work
- FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty
- Factory: Fast Contact for Robotic Assembly
- IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Citation
@dataset{exokern_contactbench_peginsert_v01_2026,
title = {EXOKERN ContactBench v0.1: Peg Insertion with Domain Randomization and Force/Torque},
author = {{EXOKERN}},
year = {2026},
url = {https://huggingface.co/datasets/EXOKERN/contactbench-forge-peginsert-v0.1},
license = {CC-BY-NC-4.0}
}
Intended Use
- Robust imitation learning on contact-rich insertion
- Force-aware versus state-only policy comparisons
- Stress-testing policy behavior under randomized physical conditions
Limitations
- Simulation only. The dataset is not a real-robot capture.
- This repo is a historical release; prefer v0.1.1 for stable downstream references.
- The task scope is a single peg-insertion setup.
- Access is gated on the Hub.
Related Resources
- Stable successor: EXOKERN/contactbench-forge-peginsert-v0.1.1
- Paired model release: EXOKERN/skill-forge-peginsert-v0.1.1
- Organization page: huggingface.co/EXOKERN
- Downloads last month
- 31
Papers for EXOKERN/contactbench-forge-peginsert-v0.1
Paper
• 2408.04587 • Published
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Paper
• 2305.17110 • Published
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Paper
• 2303.04137 • Published
• 5
Factory: Fast Contact for Robotic Assembly
Paper
• 2205.03532 • Published
• 1