About Yoseph Huang¶

Hi, I'm Hsing-Yu, Huang, currently majoring in Power Machinery Engineering.
Passionate to software/hardware developement specializing in AI-driven robotics.

Experiences¶

For a comprehensive overview of my work, please visit the Projects page.

Dec 2024
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Mar 2024

Robotic Software/Firmwarte Developer

TTennis Pick-up Robot, National Tsing Hua University, Taiwan

ROS2/RTAB-Map/Nav2/Object Detection/Docker/STM32

Integrated NAV2 and RTAB-Map SLAM in ROS2 to enable the robot to explore, navigate, and localize in unknown maps.
Deployed lightweight YOLO model on an embedded camera, achieving real-time object recognition and returning spatial information of detected objects (e.g human, ping-pong, tables ...).
Received 1st place in NTHU PME Research Project Competition, Popularity Award, and Chih-Sheng Special Award.

May 2024
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Jul 2023

Image Processing Team Leader

Eurobot 2024, Nantes, France

ROS/ArUco Marker/YOLO/3D point cloud/Docker

Led a 4-member team to deploy YOLOv8 model on Intel RealSense D435i depth cameras. We also applied ArUco marker detection to help increase the accuracy of robot localization.
Based on the official open-source realsense-ros SDK, performed in-depth PCL data extraction and analysis, and utilizing DBSCAN clustering for object segmentation to achieve higher-dimensional infrared obstacle avoidance requirements.

May 2024
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Jul 2023

Hardware/Firmware Team

Eurobot 2024, Nantes, France

ESP32/PCB Design/C++

PCB integrated the ESP32 microcontroller with peripherals (e.g, infrared modules, grated light valve, and MOSFETs) .
Implementing FreeRTOS on the embedded system to calculate two-wheeled locomotion and infrared data at a high refresh rate, enabling a simple obstacle avoidance system.

May 2023
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Dec 2022

Navigation Team

Eurobot 2023, Nantes, France

ROS/C++/Shell

Based on the navigation stack framework, enhancing the robot's dynamic obstacle avoidance capabilities.
Integrate 2D lidar and vive-tracker positioning system to establish costmaps. Also introduced obstacle velocity prediction to further optimize obstacle avoidance effectiveness.

Dec 2022
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June 2022

Firmware/Software Developer

TEL Robot Combat, Kaohsiung, Taiwan

ROS/Arduino/OpenCV/STM32/C/C++

STM32 microcontrollers for driving DC and stepper motors, computing mathematical models of chassis and robotic arm.
Deploying ROS on RPi4B to manage script execution and task allocation. Additionally, employing OpenCV for letter recognition by RGB8/HSV masking and Douglas−Peucker algorithm.
Received the Creative Technology Award.