Hi, my name is

Stella Yu.

A passionate Robotics Software & Mechanical Engineer.

I leverage my coding, design, and analysis skills to construct robots that liberate people’s hands.

About Me

I am a robotics software & mechanical engineer with a passion for robotics development. My undergraduate background encompasses both mechanical engineering and computer science. I hold a strong interest in the field of assistive and mobile robots. Currently, I am pursuing a Master’s degree in Robotics at Northwestern University in Evanston, Illinois.

I am currently working on a robotics project that involves an assistive robot designed to reduce nurse’s work by helping hydrate a patient’s mouth without colliding with other medical devices (e.g., tubes) on the patient’s face.

Here are a few technologies I've been working with recently:
  • ROS2
  • Python
  • Solidworks
  • C++
  • Computer Vision
  • SLAM (Simultaneous localization and mapping)

Experience

Student Researcher - NeuRRo Lab at University of Michigan
Jul 2022 - Mar 2023

I was working as a student researcher on the Semi-Passive Rehabilitation robot tackling upper extremity rehabilitation.

  • Integrating a game handle with rotary encoder into the robots.
  • CAD design on Hand Motion Coupling System under collaboration settings.
  • Engineering a medical recliner for patients using the robot.
Student Software Developer - TechLab at MCity
Sep 2020 - Dec 2021

Developed a traffic light classification system to enhance semi-autonomous vehicle obstacle detection in challenging lighting and weather conditions, while actively collaborating within a team setting.

  • Gathered a dataset of 10K+ images of traffic lights using RGB and IR sensors
  • Built a custom model to detect and label the streetlights automatically.
OPDP Operations Intern - Abbott Laboratories
Jun 2021 - Aug 2021

As an intern, I was responsible for the validation process of the largest Abbott factory, specifically concentrating on the manufacturing process for the Covid Testing kit.

  • Brought the largest Abbott factory’s calibration processes into compliance with new QSB-R00 requirements.
  • Implemented $20,000 yearly cost savings by designing a new instruments calibration system.
  • Conducted heat study on in-transit products.

Education

2023 - 2024
Master of Robotics
Northwestern University
GPA: 3.6 out of 4.0

Course taken:

  • Robotics Manipulation
  • Embeded systems in Robotics
  • Theory of Machines: Dynamics
  • Introduction to AI
  • Deep Reinforcement Learning
  • Active Learning in Robotics
  • Sensing, Navigation, and Machine Learning for Robotics
  • Soft Robotics
2020-2023
Bachelor of Science in Mechanical Engineering
University of Michigan
GPA: 3.3 out of 4.0

Projects

Precision Pin-hunting Meets Playfulness
ROS2 Python Path Planning Computer Vision/YOLO AprilTag SolidWorks
Precision Pin-hunting Meets Playfulness
The Franka arm autonomously shoots randomly placed pins based on user-specified colors.
Simulating the Dynamics from Scratch-Mechanical Modeling of a Jack Bouncing within the Box Boundaries.
Python Control Euler-Lagrangian Equation Impact Law
Simulating the Dynamics from Scratch-Mechanical Modeling of a Jack Bouncing within the Box Boundaries.
The simulation from scratch involves with Python and control theories, including Euler-Lagrangian equations and impact laws.
Drone Tagging - Release Mechanism Design
Solidworks Fluid dynamics Engineering Analysis and validation Design
Drone Tagging - Release Mechanism Design
Designed a new release mechanism that will make the tag more robust to perturbations and external factors, resulting in an increase to the deployment success rate of the biologging tags.
Robot Nurse - Mouth Care for an Unconscious Resident
ROS2 C++ Python Computer Vision MoveIt Solidworks
Robot Nurse - Mouth Care for an Unconscious Resident
The robot nurse will detect patient's lip and hydrate it with a cotton swab.
Real-Time Human Motion Prediction for Robotic Teleoperation Using mVAE
ROS2 C++ Python Machine Learning(mVAE) Data Processing
Real-Time Human Motion Prediction for Robotic Teleoperation Using mVAE
Using mVAE, this project predicts robot arm movements from human motion for real-time teleoperation, with applications in robotics, autonomous warehousing, and stroke rehabilitation.

Get in Touch

If you have any questions or opportunities or just want to say hi, please feel free to contact me by Email jialuyu2024@u.northwestern.edu or Tel 734-968-9456.