Hello! I'm

Po-Jui Huang

Ray Huang

I'm a master student at National Yang Ming Chaio Tung University department of Eletrical and Control Engineering.
I am interesting in robotics, machine learing and deep reinforcement learning. During my research period in institute, I concentrated on deep learning for control system. Moreover, I apply these skills to Unmanned ground vehicle (UGV) and Unmanned surface vehicle(USV), trying to deal with automation problems.
My dream is using technologies to make people's life better

Po-Jui Huang


Education

  • M.S. in Computer Science (Intelligent Robotics), University of Southern California, Los Angeles, U.S.A.. (2023/08 ~ Present)
  • M.S. in Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan. (2021/02 ~ 2023/03)
  • B.S. in Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan. (2017/09 ~ 2021/01)


    • Research Interests

    Robot Learning, Deep Reinforcement Learning, Field and Service Robotics.



    Professional Skills

    Programing:
    C/C++, Python
    Deep Learning Frame Work:
    Pytorch, TensorFlow
    Robotics:
    Robot Operating System, Gazebo
    container:
    Docker
    Computer Vision:
    OpenCV, Open3D, Point Cloud Library
    Mathematic Tools:
    Matlab, Numpy
    Embedded board:
    NVIDIA Jetson (Xavier, TX2, Nano), Raspberry PI(3B, 3B+), PXA270
    Hardware:
    SolidWorks, 3D Printing


    Publications

    Technical Report

  • P.-J. Huang*, C.-I. Huang*, S. K. Lim, P.-J. Huang, M.-F. Hsieh, L. S. Yim, Y.-T. Ko, H.-Y. Hung, Y. Chen,
    J.-X. Liu, L.-W. Liou, S.-F. Chou, Y.-C. Teng, K.-J. Weng, W.-C. Lu, H.-C. Wang, (*Equal Contribution)
    "Learning-based Modular Heterogeneous USV and UAV Team in the Maritime RobotX 2022 Competition"
    Maritime RobotX 2022 Competition Technical Design Paper

    • Journal

  • H.-C. Wang, S.-C. Huang, P.-J. Huang, K.-L. Wang, Y.-C. Teng, Y.-T. Ko, D. Jeon, I.-C. Wu
    "Curriculum Reinforcement Learning from Avoiding Collisions to Navigating among Movable Obstacles in Diverse Environments"
    IEEE Robotics and Automation Letters 2023

  • J.-T. Huang, C.-L. Lu, P.-K. Chang, C.-I Huang, C.-C. Hsu, Z. L. Ewe, P.-J. Huang, and H.-C. Wang
    "Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions"
    IEEE Robotics and Automation Letters 2021, (RA-L). 6(2), 3333-3340

  • C.-L Lu*, J.-T. Huang*, C.-I Huang, Z.-Y. Liu, C.-C. Hsu, Y.-Y. Huang, S.-C. Huang, P.-K. Chang, Z. L. Ewe,
    P.-J. Huang, P.-L. Li, B.-H. Wang, L.-S. Yim, S.-W. Huang, M.-S Bai, H.-C. Wang, (*Equal Contribution)
    “A Heterogeneous Unmanned Ground Vehicle and Blimp Robot Team for Search and Rescue using Data-driven
    Autonomy and Communication-aware Navigation”
    Field Robotics - Special Issue: Advancements and lessons learned during Phase I & II of the DARPA Subterranean Challenge. 2022



    • honor and awards

  • 3rd place, 2022 Maritime RobotX Challenge 2022 in Sydney
  • 8th place, 2020 DARPA Subterranean Challenge Urban-Circuit in Seattle


    • Leaderships

  • Maritime RobotX Challenge 2022 Team Leader of Team NYCU (3rd place)
  • Teaching Assistant of Robotic Vision: Prof. Hsueh-Cheng Wang (Spring 2022)
  • Teaching Assistant of Introduction to Artificial Intelligence: Prof. Hsueh-Cheng Wang (Fall 2020)
  • Teaching Assistant of AI Robot Development Workshop: Prof. Hsueh-Cheng Wang (Summer 2020)
  • vice captain of Electrical and Computer Engineering Tennis Team(2020-2021)