nesl/agrobot
📦 Open Source Projectnesl
Neural-Kalman GNSS/INS navigation system for precision agriculture and autonomous robotics.
Agrobot addresses the critical challenge of precise localization in agricultural robotics by integrating Neural-Kalman filtering techniques. The system fuses GNSS (Global Navigation Satellite System) and INS (Inertial Navigation System) data to provide high-accuracy positioning required for autonomous field operations. Unlike traditional filters that rely solely on linear models, Agrobot utilizes deep learning—specifically Temporal Convolutional Networks (TCNs)—to learn complex sensor error dynamics and environmental noise patterns. This hybrid approach significantly improves navigation stability in environments with canopy cover or signal multipath issues. The repository includes Jupyter Notebooks demonstrating the implementation of these filters, providing a technical foundation for researchers and engineers working on Edge AI and TinyML applications in precision agriculture. It serves as a practical resource for those looking to implement state-of-the-art sensor fusion algorithms on resource-constrained robotic platforms.
💡Highlights
- ├─Neural-Kalman sensor fusion
- ├─TCN-based error modeling
- └─Optimized for Edge AI/TinyML
🎯For
- ├─Robotics Engineers
- ├─Precision Agriculture Researchers
- └─Edge AI Developers