Remote labs, where students control real lab hardware remotely, offer a great deal of flexibility and resilience in the current educational setting. Remote control of stationary and tethered hardware is easy. However, controlling an untethered mobile robot is much more challenging. This project builds on the work we have done in developing a remote lab for the VEX mobile robots used in MECHENG 201.
The main goal of this project is to develop and implement a machine-learning approach to path tracking, such as reinforcement learning, to follow a prescribed path as accurately as possible. This is a hands-on project that is suitable for a pair of mechatronics students. This project has been pre-allocated.
Undergraduate
None
Mechatronics Research (405.822, Lab)