De Ru Tsai

ROBOTICS EXPERIENCE

Arizona State University, AZ (Aug 2021 - May 2023)

• Evaluated the “Continual Few-Shot Image Classification Model”
  (Python, PyTorch, NumPy, OpenCV, Colab)
  1. Implemented classification by building clustering and KNN algorithms under the transformer backbone
  2. Approached state-of-the-art performance of continual few-shot classification by a fixed classifier and cosine similarity
• Developed the “Robot-to-Robot Charging System”
  (Matlab, Mobile Robotics Simulator)
  1. Created the robot-to-robot charging system by implementing the Hungarian matching algorithm
  2. Saved idle robots by 4 times compared to the traditional charging strategy
• Executed the project “Barrier-Free Area Detection”
  (Python, TensorFlow, OpenCV, Colab)
  1. Labeled data, implemented the surface normal filter, and trained the Mask-RCNN model to detect barrier-free area
  2. Reduced the mask loss by 65% compared to the model without a surface normal filter
• Organized the project “Navigation in Unfamiliar Environments”
  (Python, PyTorch, JSON, HDF5, Colab)
  1. Implemented self-adaptive navigation by applying a meta-reinforcement learning model with RGB input
  2. Improved the success rate by 46% compared to random navigation
• Participated in the project “Grasp Moving Objects in Microgravity”
  (Python, PyTorch, MuJoCo, Ubuntu)
  1. Designed the reward functions and robot policies for reinforcement learning in the microgravity environment
  2. Improved velocity toleration by 4.6 times with discrete samples than with uniform random samples

Industrial Technology Research Institution, Taiwan (Nov 2019 - Jun 2021)

• Launched the “Cyber-Physical Robotic Metal Grinding System”
  (C++, OpenCV, Qt, FANUC)
  1. Developed the trajectory compensation plug-in with a laser sensor for an offline trajectory planning software
  2. Incorporated object detection for recognizing workpieces
  3. Designed the layout, manipulated the robot arm, and integrated it with equipment, sensors, and PLC
• Developed the “Mold-Free Robotic Roller Hemming System”
  (C++, Qt, SolidWorks, FANUC)
  1. Designed the double-roller hemming tool that got rid of multiple molds with the automotive degree adjustment feature
  2. Planned the hemming trajectories for automotive fabrication

EDUCATION

Arizona State University, AZ (Aug 2021 - May 2023)

• GPA: 4.00 (Graduated with Distinction)
• Degree: Master of Science
• Major: Robotics and Autonomous Systems
  (Concentration: Artificial Intelligence)
• Courses: Artificial Intelligence / Statistical Machine Learning /
  Advances in Robot Learning / Perception in Robotics /
  Machine Vision and Pattern Recognition /
  Remote Sensing and Synthetic Aperture Imaging /
  Multi-Robot Systems / Modeling and Control of Robots /
  Linear Algebra / Game Theory: Models and Algorithms

National Chiao Tung University (NCTU), Taiwan (Sep 2016 - Aug 2018)

• GPA: 4.00
• Degree: Master of Science
• Major: Mechanical Engineering

SKILLS

Programming
Python, Matlab, C++, C

Tools
PyTorch, OpenCV, Git, Ubuntu, Arduino, SolidWorks, Google Colab, MuJoCo

Industrial Knowledge
Robotics, Artificial Intelligence, Machine Learning, Computer Vision, Algorithms, Data Structures

OTHER EXPERIENCE

National Fire Agency (Nov 2018 - Oct 2019)
Administrative Assistant, Substitute Military Services

N/MEMS Lab, NCTU (Sep 2017 - Jan 2018)
Teaching Assistant, Mechanical Engineering Laboratory

EXTRACURRICULAR ACTIVITIES

Department Student Association, NCTU (Sep 2013 - Jun 2015)
Manager of Event Planning Department

North Taiwan Area Alumni Association, NCTU (Sep 2013 - Jul 2014)
Manager of Public Relations Department