This Python project demonstrates Occupancy Grid Mapping in robotics and autonomous navigation using real-world data from the Orebro dataset. It processes odometry and laser sensor readings to create an occupancy grid map. With Matplotlib visualizations, it simulates robot navigation and mapping in a 2D environment.
Real-time 2D LiDAR mapping & survey suite with Dual-ESP32 BLE architecture and TF-Luna. Features occupancy SLAM with ray-clearing, Dietmayer ABD target detection, interactive CAD ruler & 1:1 DXF export.
A custom SolidWorks-designed differential-drive robot integrated with ROS 2 and RTAB-Map for RGB-D SLAM, depth-based 2D occupancy mapping, localization, loop closure, and robot pose estimation.
Python/PyQt6 multi-station 2D LiDAR registration and fusion suite. Features coarse-to-fine Point-to-Line ICP alignment, spatial authority hard-slicing, micro-snap seam welding, and DXF/CAD vector export.
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