Jeremy Roy is a Master’s student in Electrical and Computer Engineering at Offroad Robotics, Queen’s University. He is supervised by Joshua Marshall. He completed his B.A.Sc in Computer Engineering (2018) at Queen’s University. As part of his Bachelor’s degree, Jeremy completed an internship at Neptec Design Group. Projects Jeremy worked at Neptec include LiDAR Nav, an autonomous navigation system for the Canadian Space Agency’s JUNO rover, and Neptec’s On-Astronaut Wireless Sensor System. Jeremy’s research interests include signal processing, mapping, and path following control.
- ELEC 390 – Principles of Design and Development (Winter 2020)
- ELEC 433 – Linear Control Systems (Fall 2019)
- ELEC 274 – Computer Architecture (Winter 2019)
- ELEC 371 – Microprocessor Interfacing and Embedded Systems (Fall 2018)
Jeremy R., Joshua M., Experience-Based Iterative Path Optimization for Autonomous Tramming using Inertial Sensors, FEAS Research Symposium, Queen’s University, Kingston, ON, October 2019
Jeremy R., Joshua M., Teach, Repeat, and Iteratively Optimize, NCRN AGM 2019, Queen’s University, Kingston, ON, June 2019
Jeremy R., Jérémie J., Riley K., Justin C., Quadrotor Controlled by an Onboard Smartphone, B.A.Sc Capstone Project, Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, April 2018 (advisor: Carlos Saavedra).