| Year |
Author |
Degree |
Topic |
| 2024 |
Marius Juston |
MS SE |
Adaptive neuro-fuzzy inference system based neural network and parameter constraints |
| 2023 |
Yu Chen |
PhD MechE |
Enabling mobile robot perception and shared-control with vision-based sensor fusion systems |
| 2023 |
Samuel Dekhterman |
MS SE |
Hierarchical rule-base reduction fuzzy control for variable velocity path tracking |
| 2022 |
Hang Cui |
PhD MechE |
Signal processing of 4D high-resolution automotive radar for object detection |
| 2022 |
Woojin Ahn |
MS SE |
Online and offline training for adaptive neuro-fuzzy inference systems using deep and reinforcement learning with hierarchical rule-base reduction |
| 2022 |
Justin Yurkanin |
MS MechE |
Neural network enhanced off-road skid-steer vehicle modeling with an application to path planning |
| 2021 |
Jiaming Zhang |
MS MechE |
Illi Racecar: A small-scale platform for autonomous driving |
| 2021 |
Michaela Lobato |
MS SE |
Terrain characterization for site selection and preparation |
| 2021 |
Ayush Rajput |
MS IE |
|
| 2020 |
Sharan Balasubramanian |
MS IE |
Neural network modeling of the dynamics of autonomous underwater vehicles for Kalman filtering and improved localization |
| 2019 |
Rodra Hascaryo |
MS AE |
Reduced order extended kalman filter incorporating dynamics of an autonomous underwater vehicle for motion prediction |
| 2019 |
James Keiller |
MS ECE |
Localization for Teams of Autonomous Ground Vehicles |