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AbdullahGM1/README.md

Hi, I'm Abdullah Al-Musalami 👋

Senior Robotics Engineer @ Yokogawa · Full-Stack Robotics · ROS2 & 3D SLAM

I build autonomous robots that perceive, map, and navigate the real world — from LiDAR/camera fusion and 3D SLAM to the GPU-accelerated, Dockerized infrastructure that ships them reliably.

LinkedIn GitHub Email Website

Followers Total Stars


About Me

I'm a Senior, full-stack Robotics Engineer at Yokogawa, based in Saudi Arabia, with deep, hands-on experience taking robotic systems from raw sensor data to production. I work across the entire stack — perception, SLAM, navigation, and the GPU-accelerated infrastructure that runs them — with ROS2 and multi-sensor fusion at the core, and I care as much about reproducible deployment as I do about algorithms.

What I bring to a team:

  • 🗺️ 3D SLAM & mapping — production pipelines with GLIM (GPU), Cartographer, RTAB-Map, and KISS-ICP on real robot LiDAR
  • 📡 Sensor fusion — tightly-coupled LiDAR + camera + IMU for robust detection and tracking
  • 🚁 Autonomous platforms — UAV and ground robots with PX4 + Gazebo and ROS2 navigation
  • 🐳 Robotics DevOps — Dockerized, CUDA-enabled environments that make complex stacks reproducible in one command
  • 🧠 AI integration — LLM-driven agents for higher-level autonomy

🔭 Currently: building GPU-accelerated 3D SLAM and mapping systems for mobile robots.


Featured Projects

📡 L2I Fusion Detection  ⭐ Most Starred

Repo Stars

LiDAR + camera fusion for real-time object detection and tracking, fusing 360° point clouds with image-space detections for higher accuracy.

Stack: ROS2 · PCL · Computer Vision Use case: Autonomous navigation & multi-sensor tracking

🔗 ROS2 LiDAR–Camera Fusion

Repo Stars

End-to-end pipeline that calibrates and fuses 360° LiDAR with camera streams, projecting detections into 3D for robust real-time tracking.

Stack: ROS2 · LiDAR · Camera Integration Use case: Multi-sensor object tracking

📊 L2D Detection

Repo Stars

Converts 3D point clouds into depth maps with PCL, enabling 2D-style detection models to localize objects in 3D space.

Stack: ROS2 · PCL · Point Cloud Processing Use case: 3D object detection & spatial awareness

🤖 ROS2 Agent Sim Docker

Repo Stars

A one-command development container for autonomous drone work, bundling a full simulation stack with LLM-driven agent control.

Stack: ROS2 Humble · Gazebo · PX4 · ROSA · Ollama Use case: Autonomous drone development & testing


Tech Stack

Robotics & Simulation

ROS2 Gazebo PX4 Nav2 RViz

Perception & SLAM

PCL GLIM Cartographer RTAB--Map OpenCV

Languages

Python C++ Shell

Infrastructure

Docker NVIDIA CUDA Git Linux


GitHub Stats

GitHub Stats Streak

Top Languages


Areas of Interest

3D SLAM & Mapping · Sensor Fusion · Autonomous Aerial Vehicles (UAVs) · Multi-Robot Systems · AI-Powered Robotics · Computer Vision · Containerized Robotics


Let's Connect

Open to collaborating on robotics and autonomy, talking shop about SLAM and perception, or helping engineers get productive with ROS2.

From raw sensor data to autonomous behavior — engineered to be reliable, reproducible, and real.

Pinned Loading

  1. l2i_fusion_detection l2i_fusion_detection Public

    This ROS2 package integrates data from a 360-degree lidar and a camera to achieve enhanced object tracking through sensor fusion.

    C++ 53 11

  2. l2d_detection l2d_detection Public

    Ros2 Package for Using PCL to Convert Point Cloud Data into a Depth Map for Object Detection and Localization

    C++ 7 4

  3. ros2_lidar_camera_fusion_with_detection ros2_lidar_camera_fusion_with_detection Public

    This ROS2 package integrates data from a 360-degree lidar and a camera to achieve enhanced object tracking through sensor fusion.

    Python 15 1

  4. ros2_agent_sim_docker ros2_agent_sim_docker Public

    🤖 ROS2 + Gazebo + PX4 + AI Docker Environment Complete development container with ROS2 Humble, Gazebo Garden, PX4, ROSA, and Ollama LLM integration for autonomous robotics. Features: ROS2, Gazebo, …

    Shell 10 4