I'm a Robotics Engineer passionate about building intelligent, real-world robotic systems that seamlessly blend hardware and software. My expertise spans mobile robots, drones, and robotic arms, with a strong focus on autonomous navigation, control systems, and robotic manipulation.

• 🔭 I’m currently working on integrating ROS 2, Gazebo (both Classic and Ignition Fortress), and microcontroller-based hardware to develop advanced autonomous robotic systems.
• 🤖 I’ve developed full-stack robotics solutions—ranging from low-level embedded control to high-level autonomous behaviors using AI, SLAM, and sensor fusion.
• 🧪 I love experimenting with robot control algorithms, multi-sensor data fusion, and AI-driven autonomy.
• 👯 I’m open to collaborations on innovative projects in robotics, AI, or automation—whether it's simulation, hardware design, or real-world deployment.
• 📫 Contact: haroon300@hotmail.com

I’ve worked extensively with robotic manipulators, focusing on simulation, planning, and control. My experience includes:

• 🦿 UR Robotic Arm and Franka Emika Panda Arm
• 🧩 Simulation environments:
  • Gazebo Classic
  • Gazebo Ignition Fortress
• 🕹️ Controlled robotic arms using MoveIt 2, with support for joint trajectory controllers, inverse kinematics, and motion planning.
• 🔌 Integrated ros2_control, custom hardware interfaces, and sensor feedback loops to simulate and control robotic arms in real and virtual environments.

These projects allowed me to explore motion planning, perception integration, and control loops—laying the foundation for precise and intelligent robot manipulation.

I’ve been actively involved in developing autonomous aerial systems using both custom drones and off-the-shelf platforms. My drone experience includes:

• ✈️ ArduPilot Firmware
  • Integrated MAVROS with ROS 1/ROS 2 to control drones and receive telemetry data.
  • Developed vision-based SLAM and autonomous path planning pipelines for indoor and outdoor navigation.
  • Extensively used SITL (Software-In-The-Loop) to simulate and test flight algorithms without real hardware.
  • Worked with GPS, IMU, and optical sensors for robust state estimation and control.

• 📷 Tello Drone with ROS 2
  • Interfaced Ryze Tello with ROS 2 for educational and prototyping purposes.
  • Implemented real-time control, video streaming, and simple autonomy behaviors.
  • Used it as a platform for testing lightweight visual processing and control strategies.

My work on mobile ground robots centers on developing robust autonomous navigation systems for indoor and outdoor use. This includes:

• 🧠 Integrated micro-ROS on microcontrollers for real-time embedded communication and control.
• 🗺️ Implemented SLAM using Navigation2 (Nav2) with both 2D LiDAR and depth cameras.
• 🔀 Developed custom ROS 2 plugins for global and local path planning, tailored to specific mission profiles and dynamic environments.
• 🧩 Designed full sensor fusion pipelines combining data from IMU, GPS, wheel encoders, and vision sensors to improve localization accuracy and resilience.
• 🛠️ Deployed and tested algorithms in simulated and real-world environments using Gazebo, RViz2, and physical robot platforms.

These experiences sharpened my skills in motion control, robot state estimation, map building, and multi-sensor integration.

• Languages: Python, C++, Bash
• Frameworks: ROS 2 (Humble & Foxy), MoveIt 2, Navigation2, micro-ROS
• Simulation: Gazebo Classic, Ignition Fortress, RViz2, ArduPilot SITL
• Hardware: Arduino, ESP32, Pixhawk, Raspberry Pi, Ryze Tello
• Tools: Git, Docker, VSCode, Ubuntu/Linux
• Other: MAVROS, OpenCV, TensorFlow (basic), SLAM (ORB-SLAM2, RTAB-Map), CAN, Serial/UART/I2C, IMU/GPS Integration

• Crazyflie Simulation — URDF Model
  Contributed a complete URDF model for the Crazyflie drone, enabling realistic simulation and integration with ROS2 environments.
  View Pull Request #74

• MAVROS Examples — ROS2 Tutorials
  Developed sample ROS2 nodes demonstrating services, topics, and MAVROS integration, helping developers get started with ROS2-based flight control.
  View Pull Request #2077

• RTAB-Map for Quadcopter
  Implemented RTAB-Map integration for a quadcopter, enabling real-time 3D mapping and SLAM functionality in ROS2.
  View Pull Request #1

If you're working on something exciting in robotics, AI, or autonomous systems, I'd love to hear from you!

📧 Email: haroon300@hotmail.com
🌍 Location: Pakistan (open to remote opportunities)

“Robots are not just machines—they’re the future of automation, intelligence, and interaction. Let’s build it together.”