Project Info
Observed Control Development
Andrew Petruska | apetruska@mines.edu
This project explores a new control approach that uses observer theory to create a robust and general control approach for nonlinear systems. The project will mostly be in support of testing the algorithm in ROS and generating data for a conference paper. One of the exciting aspects of this approach and project is it allows a uniform framework to execute both low-level and high-level objectives.
For more information:
m3robotics.mines.edu
Student Preparation
Qualifications
Experience with Python or C++ is required. Some Knowledge of ROS is desired.
Student is required to attend the basic lab safety training offered by Environmental Health and Safety at Mines.
Time Commitment
5 hours/week
Skills/Techniques Gained
The student will gain knowledge of how to work with robotic systems, design tests, collect results, and explore controller tuning.
Mentoring Plan
The student will be supported both by myself and a PhD student in the lab. They will participate in weekly research meetings like a graduate student and will have 1 on 1 meetings/discussions with me on a weekly basis.