Robot Learning
Providing faster, more flexible, and scalable robot learning solutions for everyone. We are committed to covering various robot learning scenarios on open-source platforms.
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Core Technical Areas
📊 Data Collection
Multi-strategy data collection: single-arm demonstrations, bimanual collaboration, teleoperation, and data augmentation techniques.
Detailed tutorials coming soon — contributions welcome.
🧠 Model Training
In-depth analysis of ACT (Action Chunking with Transformer), Diffusion Policy, Pi0 series algorithms with tuning guides.
Detailed tutorials coming soon — contributions welcome.
🚀 Deployment & Optimization
TensorRT acceleration, INT8/FP16 quantization, edge deployment on Jetson and Raspberry Pi.
Detailed tutorials coming soon — contributions welcome.
📈 Performance Evaluation
Evaluation metrics, success rate analysis, and ablation study design for robot learning.
Detailed tutorials coming soon — contributions welcome.
Related Tutorials
- SO-ARM101 Tutorial — Train robot manipulation policies with LeRobot
- SO-ARM101 Jetson Orin PyTorch Compatibility
- IMU Module Tutorial — Sensor data collection
- AmazingHand Interface Control
✨ Call for Contributors
We welcome community contributors! If you have tutorials, case studies, or technical analyses, feel free to submit a PR.
- Share your robot model training experience
- Deep dive into a robot learning algorithm
- More project needs
Tech Support
Thank you for choosing our products!
- 📧 Email: support@juxitech.com
- 💬 GitHub Issues: Feedback