Gurnoor Kaur Portfolio

Resume

• Education: University of Michigan - Robotics MS + BSE, Graduating - Dec 2025
• Skills: Unity, Unreal, SolidWorks, Raspberry Pi, Arduino, PLC Programming, Siemens TIA, Roboguide
• Languages: C++, C#, Python, Java, MATLAB, HTML, CSS, Julia
• Experience:
  • FANUC:
    • Developed KAREL scripts to evaluate MQTT functionality and integration with the R30iB Plus controller.
    • Created product information training material and product improvement proposals, including prototypes of custom HMI screens and a robot monitoring website.
    • Conducted software and options testing for the new R50iA controller, and evaluated the Software PLC product to assess its capabilities and limitations.
  • Student Researcher - Haptic Interface Development:
    • Designed a prototype for a non-vibrational interface allowing two-way communication between users and technology.
    • Utilized SolidWorks and 3D printing for rapid prototyping with inflatable rubber molds for haptic feedback.
    • Integrated Arduino, pressure sensors, and pneumatic gauges to control prototype responsiveness and functionality.
  • Wipro PARI:
    • Streamlined testing, debugging, and troubleshooting for production processes.
    • Engaged in cross-functional teams with mechanical, electrical, and controls expertise for project execution.
    • Collaborated with clients in meetings and production line testing to align strategies to specific needs.
  • Student Researcher - Behavioral Computational Analysis:
    • Programmed state machine modules in MATLAB to observe and analyze animal behavior.
    • Integrated behavioral and motor control software with offline analysis systems.
    • Presented research project and learned about other students’ work in research at UROP Annual Research Symposium.

Projects

• Robot Studio Lab @ UMich - HRI Interface Development:
  • Developing an online experiment platform by integrating Onni and emBODY and deploying it on a web server to enable remote participation in studies.
  • Setting up backend infrastructure using Nginx, Gunicorn, Flask, and MySQL, enabling structured data storage, efficient web request handling, and seamless experiment execution.
  • Conducting data analysis on study results to evaluate participants’ emotional responses to robotic touch, providing insights into human-robot interaction dynamics.

• Extended Reality:
  • Developed Virtual and Augmented Reality applications using Unreal Engine, Meta Quest Pro, Unity, and Mapbox to showcase computer science education and enable outdoor exploration.
  • Created an AR application designed to bridge the gap in early music education, incorporating spatial audio, digital object line rendering, and user-custom scene development, enabling up to 100 objects and custom environments.
• Deep Learning for Robot Perception:
  • Constructed a multi-layer convolutional neural network achieving 97% accuracy in object classification with train/test datasets.
  • Implemented image classification models, including K-Nearest Neighbors, Softmax, and a two-layer network showcasing proficiency and tradeoffs between the methods.
• Motion Planning in Simulated Robotics:
  • Developed collision-free path planning algorithms, including A-star for navigating unknown frontiers and RRT-connect for robotic arm obstacle avoidance, achieving a 95% task completion rate in simulated environments.
  • Implemented simultaneous localization and mapping (SLAM) using occupancy grids, Bresenham’s algorithm for LIDAR based mapping, and particle filters for localization, enhancing mapping accuracy.
  • Created a web-simulator for n-link robots with forward and inverse kinematics using Jacobian transpose method to control pose, direction, and orientation.