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AntonioLuisGH/README.md

Hi, I'm Antonio Luis González Hernández

I am a Robotics Engineer currently pursuing an MSc in Robotics at Aalborg University, with a BSc in Electronic Engineering, Robotics & Mechatronics from the University of Seville. I specialize in computer vision, deep learning, and real-time control systems.

My work focuses on bridging the gap between theoretical sensor integration and robust, deployable robotics software, drawing from my experience as a Robotics Software Engineer Intern at CATEC and as an Electromechanical Engineer at ACIERTA Retail.

Technical Stack

  • Languages: C/C++, Python, MATLAB, Bash, Linux
  • Robotics & AI: ROS/ROS2, PyTorch, TensorFlow, OpenCV, Hugging Face
  • DevOps & Simulation: Git, Docker, CI/CD, Gazebo, CoppeliaSim
  • Hardware & CAD: SolidWorks, Microcontrollers, PCB Soldering

Featured Projects

Autonomous Counter-UAV System (MSc Project) My current major focus is an autonomous tracking architecture for UAVs. To make the system modular and scalable, I have separated the subsystems into dedicated ROS 2 packages:

  • Perception: Real-time 3D UAV detection using an optimized PointPillars network for conical LiDARs (pointpillars_UAV_ros2).
  • State Estimation: Fusing noisy LiDAR and acoustic DOA signals via a Bayesian Particle Filter (particle_filter_ros2).
  • Control: Inverse kinematics and tracking computations for a 2-DOF turret (pan_tilt_control, livox_avia_pan_tilt_ros2).
  • Tooling & Simulation: Synthetic data pipelines and dataset converters (drone_detector_sim, bag_to_kitti_converter, truckscenes_to_kitti).

Hex-Bot: AI-Powered Hexapod Robot

  • Designed multidirectional C-based kinematic control derived from custom Denavit-Hartenberg mathematical models. You can explore the core math and hardware engine in Hex-Bot-Kinematics.

Connect with Me

Pinned Loading

  1. Hex-Bot-Kinematics Hex-Bot-Kinematics Public

    C++ Kinematics and Hardware Engine for an AI-Powered Hexapod

    C++ 1

  2. pointpillars_UAV_ros2 pointpillars_UAV_ros2 Public

    This ROS2 package provides a real-time implementation of PointPillars for 3D object detection, specifically tuned for detecting small UAVs (Drones) using data from a conical LiDAR (e.g., Livox Avia).

    Python 5

  3. drone_detector_sim drone_detector_sim Public

    This project is a ROS 2 simulation environment designed as a test harness for a lidar-based drone detection algorithm.

    Python 1

  4. pan_tilt_control pan_tilt_control Public

    pan_tilt_control is the ROS 2 aiming subsystem for a multi‑sensor UAV tracking architecture. It accepts a 3D target point (x, y, z) and computes Pan (azimuth) and Tilt (elevation) angles while comp…

    Python 3 1

  5. particle_filter_ros2 particle_filter_ros2 Public

    A ROS 2 simulation for tracking Unmanned Aerial Vehicles (UAVs). Simulates a target drone, produces noisy sensor data (DOA and PointPillars), and estimates the drone's state with a particle filter.

    Python 3

  6. quest3-senseglove-haptics quest3-senseglove-haptics Public

    Unity XR experiment for Meta Quest 3 + SenseGlove Nova 2 exploring how vibrotactile and force feedback affect embodiment in VR. Features force-resistance tuning, dynamic haptic scaling, and multi-s…

    C# 1