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許修瑋 Hsiu-Wei Hsu
A quick learner and a goal-oriented person. My researches were mostly focusing on deep reinforcement learning and
deep learning, aiming to control mobile robots and UAVs with modeless methods, also interested in computer v . More
of my works can be seen in my portfolio: https://hackmd.io/@showay/BJpYytM5U.
    
Taipei,TW
df405102@gmail.com 
Education  
M.Eng,   Dept. of Mechanical Engineering, National Chiao Tung University, Hsinchu, Taiwan, 2018 - 2020.
B.S.Eng, Dept. of Mechanical Engineering, National Chiao Tung University, Hsinchu, Taiwan, 2014 - 2017.
Skills
Programming / OS
Python, C++, Arduino, VB
Linux ( Ubuntu, Elementary OS )
Deep Learning
PyTorch, Tensor ow, Keras, Keras-rl,
OpenAI-Gym, OpenAI-baselines,
stable-baselines
Other Related
Robot Operating System (ROS),
Gazebo, Control System,
OpenCV, scikit-learn, Markdown,
Git ( GitHub/ Gitkraken/ Git ow ),
TOEIC - 910
Researches
Image-Based Control of Quadrotors Using Deep Reinforcement
Learning,  Jan 2018 ~ 2020
keywords: PyTorch, TD3, RNN, VAE, Markov Decision Process, Quadcopter, DRL
A project of the Ministry of Science and Technology leads by Prof. Jen-Hui Chuang. 
The goal of the DRL controller was to control the quadrotor with forward-looking images to
pass gates with di erent sizes.
Deep Reinforcement Learning-Based Mapless Motion Planning
keywords: Tensorflow, keras-rl, DDPG, pyglet, DRL
Using MDP model to solve mapless motion planning problem with local information.
A trivial sub-optimal numerical expert was introduced as demonstration, which lead the agent to
find a better policy.
Automation of Shape Forming and Board Lasting in the Production
Line of Shoe-Making , Dec 2017 ~ Jul 2018
keywords: Scikit-Learn, Random Forest, OpenCV, Machine Learning
An industry-university cooperation project aimed to enhance the automation of shoe-making
production line. 
My part was to correct the position and orientation of unformed shoes feeding by a 6-axis
robot arm. 
Obstacles Avoidance with Q-Learning and Lidar, Jul 2017 ~ Dec 2017
keywords: Reinforcement Learning, ROS, Gazebo, Markov Decision Process
Table-based Q learning written from scratch.
Source Code: https://bitbucket.org/showay29/q-learning-turtlebot/src/master/
Gate Pose Estimation Using PilotNet, Jul 2019 ~ Dec 2019
keywords: Deep Learning, RVIZ, ROS, CNN
1
2
3
4
5
Estimates the position and pose on body frame with single image.
Side Projects
Home Security Project
keywords: IOT, Flask, RPi, MCU, LINE Bot
A home security project that monitors
unauthorized door opening event
constructed by Linkit 7697, Raspberry Pi,
and IFTTT service.
Source Code:
https://github.com/showaykerker/Linkit7697_Do
orMonitor
Lan-NCTU
keywords: Midi Protocol, MCU, VCV Rack
A modern midi instrument with rgb
programmable lights patterns and 9DOF
imu sensor.
Source Code:
https://github.com/showaykerker/lan_nct
u

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Resume - Hsu, Hsiu-Wei

  • 1. 許修瑋 Hsiu-Wei Hsu A quick learner and a goal-oriented person. My researches were mostly focusing on deep reinforcement learning and deep learning, aiming to control mobile robots and UAVs with modeless methods, also interested in computer v . More of my works can be seen in my portfolio: https://hackmd.io/@showay/BJpYytM5U.      Taipei,TW df405102@gmail.com  Education   M.Eng,   Dept. of Mechanical Engineering, National Chiao Tung University, Hsinchu, Taiwan, 2018 - 2020. B.S.Eng, Dept. of Mechanical Engineering, National Chiao Tung University, Hsinchu, Taiwan, 2014 - 2017. Skills Programming / OS Python, C++, Arduino, VB Linux ( Ubuntu, Elementary OS ) Deep Learning PyTorch, Tensor ow, Keras, Keras-rl, OpenAI-Gym, OpenAI-baselines, stable-baselines Other Related Robot Operating System (ROS), Gazebo, Control System, OpenCV, scikit-learn, Markdown, Git ( GitHub/ Gitkraken/ Git ow ), TOEIC - 910 Researches Image-Based Control of Quadrotors Using Deep Reinforcement Learning,  Jan 2018 ~ 2020 keywords: PyTorch, TD3, RNN, VAE, Markov Decision Process, Quadcopter, DRL A project of the Ministry of Science and Technology leads by Prof. Jen-Hui Chuang.  The goal of the DRL controller was to control the quadrotor with forward-looking images to pass gates with di erent sizes. Deep Reinforcement Learning-Based Mapless Motion Planning keywords: Tensorflow, keras-rl, DDPG, pyglet, DRL Using MDP model to solve mapless motion planning problem with local information. A trivial sub-optimal numerical expert was introduced as demonstration, which lead the agent to find a better policy. Automation of Shape Forming and Board Lasting in the Production Line of Shoe-Making , Dec 2017 ~ Jul 2018 keywords: Scikit-Learn, Random Forest, OpenCV, Machine Learning An industry-university cooperation project aimed to enhance the automation of shoe-making production line.  My part was to correct the position and orientation of unformed shoes feeding by a 6-axis robot arm.  Obstacles Avoidance with Q-Learning and Lidar, Jul 2017 ~ Dec 2017 keywords: Reinforcement Learning, ROS, Gazebo, Markov Decision Process Table-based Q learning written from scratch. Source Code: https://bitbucket.org/showay29/q-learning-turtlebot/src/master/ Gate Pose Estimation Using PilotNet, Jul 2019 ~ Dec 2019 keywords: Deep Learning, RVIZ, ROS, CNN 1 2 3 4 5
  • 2. Estimates the position and pose on body frame with single image. Side Projects Home Security Project keywords: IOT, Flask, RPi, MCU, LINE Bot A home security project that monitors unauthorized door opening event constructed by Linkit 7697, Raspberry Pi, and IFTTT service. Source Code: https://github.com/showaykerker/Linkit7697_Do orMonitor Lan-NCTU keywords: Midi Protocol, MCU, VCV Rack A modern midi instrument with rgb programmable lights patterns and 9DOF imu sensor. Source Code: https://github.com/showaykerker/lan_nct u