AGV Localization - SICK Hackathon Project

This repository hosts the code for our AGV (Automated Guided Vehicles) Localization solution, developed during the SICK Hackathon on October 24-26. Our approach enhances AGV navigation by ensuring precise location tracking and orientation awareness.

Overview

Our strategy improves AGV localization through:

1. Location Identification: We triangulate the AGV's position using UWB beacons, akin to GPS technology.
2. Orientation Awareness: AGVs undertake a 'spin test,' employing LiDAR to match real-time environmental scans with internal maps, verifying their directional stance.

Implementation

The codebase encompasses:

• UWB beacon interactions for precise localization.
• Control algorithms directing AGVs' orientation maneuvers.
• LiDAR data integration and MQTT communications handling.

Contributions

Initiated as a collaborative venture at the SICK Hackathon.

Contributors:

• Nickolai Tchesnokov
• Arkadiusz Podkowa
• André Pinho
• Walter Niinimäki
• Ayman Ali

Acknowledgments

Special thanks to SICK for fostering innovation at their hackathon event and Safelog for providing their AGV.