| | --- |
| | title: EXOKERN |
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| | short_description: The Data Engine for Physical AI |
| | --- |
| | |
| | # EXOKERN — The Data Engine for Physical AI |
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| | **Contact-rich. Sensor-annotated. Industrially validated. EU AI Act ready.** |
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| | We produce high-fidelity force/torque manipulation datasets for enterprise robotics, humanoid robot manufacturers, and research institutions — with full data provenance and compliance documentation. |
| |
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| | ## 🎯 The Problem |
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| | Over 95% of existing robotics datasets lack force/torque sensor data. Vision-only approaches fail at contact-rich tasks like insertion, assembly, and manipulation — where precise haptic feedback is critical. |
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| | Starting August 2026, the EU AI Act requires documented data provenance for AI training data. Most existing datasets cannot meet this standard. |
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| | ## 💡 Our Solution |
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| | EXOKERN provides industrially calibrated **6-axis force/torque (wrench) data** alongside standard observations, enabling robots to learn manipulation skills that require physical contact understanding. |
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|
| | ### Capture → Anchor → Ship |
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| | | Phase | What We Do | Output | |
| | |-------|-----------|--------| |
| | | **01 Capture** | Operators generate specific contact forces incl. systematic failures in calibrated environments | Raw data + Failure Taxonomy + QC Report | |
| | | **02 Anchor** | Real friction logs calibrate simulation. Physics parameters validated against F/T measurements | Calibrated Sim Assets (MJCF/USD/JSON) | |
| | | **03 Ship** | ML-ready exports in all major formats — clean, tagged, quality-certified | RLDS, HDF5, Zarr, MCAP, LeRobot v3.0 | |
| |
|
| | ## 📦 Datasets |
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| | | Dataset | Task | F/T Data | Status | |
| | |---------|------|----------|--------| |
| | | [contactbench-forge-peginsert-v0](https://huggingface.co/datasets/EXOKERN/contactbench-forge-peginsert-v0) | Peg-in-Hole Insertion | ✅ 6-axis Wrench | Available | |
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| | > 🗺️ *More contact-rich datasets in development — including assembly, grasping, and deformable object manipulation. Commercial Contact Skill Packs available for enterprise customers.* |
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| | ## 🔧 What Makes Our Data Different |
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| | - **Force/Torque annotations** on every frame (Fx, Fy, Fz, Mx, My, Mz) |
| | - **LeRobot v3.0 compatible** — plug directly into policy training pipelines |
| | - **Industrially relevant tasks** — insertion, assembly, contact-rich manipulation |
| | - **Calibrated sensors** — not estimated, not vision-derived, directly measured |
| | - **Full data provenance** — capture methodology, operator ID, QC reports, EU AI Act compliant |
| | - **Sim-anchoring** — calibrated simulation assets bridge the Sim2Real gap |
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|
| | ## 🏗️ Built With |
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| | - NVIDIA Isaac Lab for high-fidelity physics simulation |
| | - LeRobot v3.0 format for interoperability |
| | - Franka FR3 (7-DOF) robot platform |
| | - Bota Systems SensONE 6-axis F/T sensor |
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|
| | ## 📬 Contact |
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|
| | - 🌐 Website: [exokern.com](https://exokern.com) |
| | - 🤗 HuggingFace: [huggingface.co/EXOKERN](https://huggingface.co/EXOKERN) |
| | - 📧 Enterprise inquiries: info@exokern.com |
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| | --- |
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|
| | *EXOKERN — Bridging the Haptic Data Gap in Physical AI* |
