MuddSub is a student-run robotics team. We are currently developing an autonomous underwater vehicle (AUV) named Alfie which competes in the international RoboSub competition. In RoboSub, Alfie must navigate a challenging underwater obstacle course with full autonomy. This includes navigating through gates, bumping into targets, launching torpedoes through holes, and using acoustics to navigate to remote areas of the course.
This summer, we will work to continue improving Alfie’s hardware, electronics, and software. For software, projects will include developing computer vision, using reinforcement learning to learn how to complete certain tasks, and implementing SLAM (simultaneous localization and mapping) algorithms. The electronics will also be iterated to increase robustness and scalability. Mechanical projects will center on adding new actuators and sub mechanisms, while also working to make existing systems more reliable.
Which parts of the robot interest you most? For example, software, electronics, or mechanical design? Within that category, are there particular robotics problems you’d like to work on? Feel free to express interest in multiple projects/categories even if you have no experience!
MuddSub is a student-run effort at Mudd that provides an opportunity to define and pursue subproblems that interest you. Building an AUV requires tackling problems in most modern fields of AI.