Ted Ivanac
Hello! 👋
I'm Ted Ivanac, a Robotics Master's student at the University of Michigan. My research focus is in Human-Robot Interaction. I have prior experience in autonomy, signal processing, and mechatronics design.
I previously worked as an Assistant Vehicles Systems Engineer at General Motors. Before that I interned on the Product Development team in ADAS at Ford.
I received my B.S.E in Electrical Engineering and my B.S.E in Robotics from the University of Michigan in 2024.
Projects
These are some selected projects that I have worked on throughout my studies.
MBot Brushless DC Motor Controller
Ted Ivanac, Zack Vega, Clayton Elwell, Max West, and Elliot Karp
Class Project, ROB 310: Robot Sensors & Signals
Codeveloped brushless motor driver for use in the UMich MBot platform. Redesigned open-source SimpleFOC Arduino shield as a PCB to be compatible with a Raspberry Pi Pico microcontroller
Forward Kinematics Simulation
Ted Ivanac
Class Project, ROB 320: Robot Operating Systems
Implemented forward kinematics in Javascript to map joint/link configurations to end effector poses in URDF-style Javascript robot simulations
Inverse Kinematics Simulation
Ted Ivanac
Class Project, ROB 320: Robot Operating Systems
Implemented inverse kinematics in Javascript to infer joint states to reach a desired end effector pose
Autonomous Vehicle Simulation
Ted Ivanac, Servando Garza, and Jose Galvan
Class Project, ROB 498: Autonomous Vehicles
Implemented a Kinematic Bicycle model in MATLAB with PI controllers for velocity control and steering wheel control to autonomously navigate the vehicle along a series of predetermined waypoints
Path Draw Bot
Ted Ivanac, Servando Garza, and Matthew Perez
Class Project, EECS 452: Digital Signal Processing Lab
Using a Pi Cam, we captured black lines we drew, and used Computer Vision to analyze those lines and translate them into directions for the robot to follow, driving along the drawn path.
Image Sonification
Ted Ivanac, Servando Garza, Matthew Perez, Zion Studivant, and Marco Pajaro
Class Project, EECS 351: Digital Signal Processing
Developed an algorithm to convert images into sounds using a set of Digital Signal Processing techniques
Education
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University of Michigan - Ann ArborMaster of Science in RoboticsAugust 2025 to Current Notable Coursework - Programming for Robotics, Computational Human-Robot Interaction |
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University of Michigan - Ann ArborBachelor of Science in Engineering - Electrical EngineeringSeptember 2019 to May 2024 Notable Coursework - Data Structures, Digital Signal Processing, Embedded Control Systems |
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University of Michigan - Ann ArborBachelor of Science in Engineering - Electrical EngineeringSeptember 2019 to May 2024 Notable Coursework - Robot Operating Systems, SLAM & Navigation, Autonomous Vehicles |