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PakkaponBon/README.md

Hi, I'm Pakkapon 👋

I'm a robotics software developer focused on localization, mapping, 3D perception, and warehouse automation.

I work across ROS 2 systems, sensor integration, autonomous navigation, simulation, and operational web tools. I enjoy turning sensor data into systems that are observable, testable, and useful outside the robotics lab.

Featured robotics work

ROS 2 Warehouse Traffic Monitor

A multi-forklift warehouse simulation for 2D LiDAR and AMCL localization, UWB validation and recovery, contextual motion and stuck detection, SQLite traffic history, interactive heatmaps and replay, advisory route suggestions, and a Vite system-health dashboard.

AGV LiDAR + Depth Camera Navigation

A ROS 2 Humble navigation prototype combining a Pacecat M300-E 3D LiDAR and IMU, FAST-LIO, pointcloud_to_laserscan, SLAM Toolbox, Nav2, and a Hikrobot RGB-D camera for near-field perception.

3D Detection AMR POC

An AMR simulation and LiDAR-based person-detection proof of concept using Gazebo, Nav2, CVAT, OpenPCDet, and PointPillars, with live detections displayed in RViz.

Other software projects

  • Synapse — a Next.js and Supabase team formation platform using role filters and skill scoring.
  • Furniture AI Optimization — a Next.js and FastAPI furniture-design system with cutting optimization.

Technical focus

Robotics       ROS 2 · Gazebo · Nav2 · SLAM Toolbox · FAST-LIO · AMCL
Perception     2D/3D LiDAR · RGB-D cameras · PointPillars · UWB
Software       Python · C++ · TypeScript · JavaScript · SQL
Engineering    Sensor integration · simulation · testing · visualization

Currently working on

  • Evidence-backed summaries and recommendations for warehouse traffic
  • Reliable localization validation using LiDAR AMCL and UWB
  • Moving simulation designs toward observable real-world deployments

I'm open to opportunities in robotics software, autonomous systems, perception, SLAM, and industrial automation.

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  1. ros2-warehouse-traffic-monitor ros2-warehouse-traffic-monitor Public

    ROS 2 warehouse vehicle localization, traffic recording, congestion detection, and historical heatmap monitoring using 2D LiDAR, AMCL, UWB validation, Gazebo, and Vite.

    Python