This project concerns autonomous and cyber-physical systems such as unmanned vehicles, unmanned aerial (and terrestrial) vehicles, robot systems and the power grid.
As autonomous systems are networked, the complexity involved in making decisions increases. Many times, the environments in which these systems operate are uncertain; for example, a vehicle’s intelligent systems may have been trained to operate on roads with lane markings, pedestrian cross-walks, etc; but it runs into difficulty when a pedestrian attempts to jaywalk.
Students involved on this project will work with the professor to develop and implement learning-based decision algorithms on this systems to meet performance specifications.
Juniors and seniors or sophomores that have taken advanced courses are welcome to apply.
Students in ECE, CS, Math, MAE who have strong analytical skills and comfortable with programming are welcome to apply.
It is a paid position.
Start Date: 9/1/2022 - End Date: 5/1/2023
Type of Project
The student will - understand the problem space and some of the existing literature. - get familiar with specific decision algorithms - adapt existing and/or develop and implement new algorithms for decision-making in these large-scale systems - implement developed algorithms using MATLAB, or Python. - be encouraged to document research progress for possible publication/presentation at a technical workshop or conference. - carry out other related tasks to the project.
Be in ECE, Math, CS or MAE department Have junior or senior standing; or sophomore standing with some advanced courses taken. Able to think critically and work independently.
Interested in Working With the Following Programs
Honors Undergraduate Thesis
Research and Mentoring Program
Summer Undergraduate Research Fellowship