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Aung Kaung Myat

Aung Kaung Myat

Robotics Software Engineer

Building production-ready autonomous systems for industrial environments

ROS2 C++ Python Autonomous Mobile Robots
Aung Kaung Myat

About me

Robotics Software Engineer with mechanical engineering background, developing autonomous mobile robots with ROS2. Focused on navigation, localization, and sensor integration for real-world robotic systems.

Current Focus: ROS2 Navigation & Localization • Sensor Integration & Processing • Learning Simulation (Gazebo) & ML for Robotics

Career Goal: Robotics software engineer specializing in Sim-to-Real transfer, computer vision, and production ML deployment for autonomous systems.

Technical Stack

Core

ROS2 (Humble) • C++ • Python • Linux

Navigation

Nav2 • SLAM • AMCL • GMapping • Cartographer

Perception

LiDAR • IMU • Camera • OpenCV • Sensor Fusion

Manipulation

MoveIt • Trajectory Planning • Motion Control

ML/DL

PyTorch • TensorFlow • CNN • YOLO • Object Detection

Control

PID Controllers • Path Planning • State Machines

Key Projects

Random Explorer Bot

C++ ROS2 Nav2 SLAM
  • Autonomous exploration system with dynamic SLAM mapping and random goal generation
  • Smart goal validation against live map with distance constraints and unreachable goal timeout handling
  • Continuous exploration with Nav2 integration for intelligent obstacle avoidance
View on GitHub →

TF Transform Explorer

C++ TF2 Nav2 pluginlib
  • Comprehensive TF2 frame transformation system with dynamic and static broadcasters
  • Custom TFDiagnostics message type for transform health monitoring and anomaly detection
  • Nav2 costmap plugin development using pluginlib for keepout zone implementation
  • Autonomous patrol with random goal generation and recovery behavior handling
View on GitHub →

Colored Object Picker

Python OpenCV ROS2
  • Real-time 6-color detection system using HSV color space filtering with advanced validation
  • 3D pose publishing with pixel-to-world coordinate conversion for robotic manipulation
  • Configurable YAML-based color ranges with morphological noise reduction
View on GitHub →

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