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title: EXOKERN
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emoji: ⚡
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short_description: The Data Engine for Physical AI
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# EXOKERN — The Data Engine for Physical AI
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**Contact-rich. Sensor-annotated. Industrially validated.**
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We produce high-fidelity force/torque manipulation datasets for enterprise robotics, humanoid robot manufacturers, and research institutions.
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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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## 💡 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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## 📦 Datasets
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| Dataset | Task | F/T Data | Status |
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|---------|------|----------|--------|
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| [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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## 🔧 What Makes Our Data Different
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- **Force/Torque annotations** on every frame (Fx, Fy, Fz, Mx, My, Mz)
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- **LeRobot v3.0 compatible** — plug directly into policy training pipelines
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- **Industrially relevant tasks** — insertion, assembly, contact-rich manipulation
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- **Calibrated sensors** — not estimated, not vision-derived, directly measured
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## 🏗️ Built With
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- NVIDIA Isaac Lab for high-fidelity physics simulation
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- LeRobot v3.0 format for interoperability
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- Franka Emika Panda (7-DOF) robot platform
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## 📬 Contact
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- 🌐 Website: [exokern.com](https://exokern.com)
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- 🤗 HuggingFace: [huggingface.co/EXOKERN](https://huggingface.co/EXOKERN)
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---
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*EXOKERN — Where Force Meets Intelligence*
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