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In the fourth iteration of the course, students continue to produce increasingly impressive projects. And somehow there were even more projects. As Edge AI continues to develop and gain traction in the wild (i.e., outside academia), the software, hardware, and tools available for embedded ML are becoming more mature. These... [Read More]

This course is the second in a sequence and builds on the foundation laid by Autonomous Robotics I. I taught this course for the first time in Fall 25 as a fully project-driven course, giving students the freedom to form groups around topics of their choosing. The students formed three... [Read More]

Well, we did it! At least, we achieved most of the objectives we set out to accomplish in Autonomous Robotics I. We faced significant logistical challenges, such as the robot base from Waveshare being delivered late in the semester and the Jetson Orin Nano robotics computer infamously being unavailable for... [Read More]

I am excited to offer Autonomous Robotics 1 for the second time this Spring, 2025. When I first offered it in Spring 2024, it was fun and fulfilling for the students to come in with no background in machine learning or robotics and, by the end of the semester, build... [Read More]

Fall 2024 was the third time I offered my Embedded Deep Learning course, and I was happy with how it turned out, especially with students’ projects. This time, we increased the cap on enrollment, so there were more projects than previously. Many students opted for motion classification projects involving health,... [Read More]