University of Massachusetts, Lowell, December 20, 2022: Paul Robinette, Assistant Professor at the University of Massachusetts Lowell (UML), shares with us his Duckietown teaching experience.
Introduction to robotics at the University of Massachusetts Lowell using Duckietown
Thank you for finding the time to talk with us! Could you introduce yourself?
When was your first experience with Duckietown?
My first experience with Duckietown would have been when I worked at MIT as a research scientist, just after Duckietown was run. I didn’t have a chance to see it live there, but I did talk with several of the postdocs who worked on it as it ran. I also saw it live for the first time at ICRA 2019.
Do you use Duckietown or did you use Duckietown in the past for some specific project or activity?
Sure! For the last three years, I’ve been using Duckietown robots in my class every semester. Primarily I use the Duckiebots to teach ROS and basic robot skills through the Duckietown system and infrastructure. I leverage the development infrastructure heavily and some of the course materials as well.
That sounds great! Can you tell us more about your ongoing class?
The class I teach every semester so far is called Fundamentals of Robotics [2022 class page], and we go over the basics of robotics, starting with multi-agent processing or multi-process systems, like most robots are these days, some basic networking problems, etc. The Duckiebots are perfect for that because they have Docker containers on board which have multiple different networks running. They have to work with the computer system, so it’s always at least interfacing with the laptop. The robots can be used with a laptop, with a router, you can have multiple robots out at once, and they give the students a really good sense of what moving real robots around feels like. We have students start by implementing some open loop control systems, then have them design their own lane detector, similar to the Duckietown [perception] demo, and then have them design their own lane controller again, similar to the Duckietown [lane following] demo.
Are your students appreciating using Duckietown? Would you consider it a success?
Yes, especially the newer version. The DB21s are great robots for using their class applications and infrastructure. The software infrastructure has made it pretty easy to set up our own Git repositories for the robots and be able to run them. In this way, students can run them at home or on campus.
Would you suggest Duckietown to your students or colleagues?
Yes, I’d suggest Duckietown, especially if people want to run an introductory robotics class and have every student purchase their own robot, or have the University provide the robots for all. Duckietown is much more affordable than any other robot system that could be used for this same purpose.
It is great to hear Duckietown addresses your needs so well. What would you say is the advantage that Duckietown has when compared to other systems?
I’d say the expense is probably the biggest advantage right now. It’s a nice platform and very capable for what we wanted to do. At this point, the fact that it’s affordable for students to purchase on their own or for us to purchase a bunch of them is definitely the biggest advantage for us. You guys also have a really quick response time if we have any problems. It’s nice to be able to talk directly with the development team and work with them to set up the systems so that I can run them in my class as I need to.
Thank you very much for your time!
Learn more about Duckietown
The Duckietown platform enables state-of-the-art robotics and AI learning experiences.
It is designed to teach, learn, and do research: from exploring the fundamentals of computer science and automation to pushing the boundaries of knowledge.
Tell us your story
Are you an instructor, learner, researcher or professional with a Duckietown story to tell? Reach out to us!