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.

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.