Our teensy mcu broke, so I rewired the teensy mcu with the ADC, motors, and sensors. This time, while rewiring, I made sure to be very thorough and neat with the way that I was wiring so that it would not break again. We have been very careful storing the parts as well, so that there would be no issues for our final.
I also worked alongside Rayann to test and train our robot’s SVM model, helping ensure that our classification pipeline was functioning correctly. We tested the model with the robot and added robot data to the training dataset. We collected 200 raw voltage data values, processed the features, added them to a robot dataset, and then let the robot move forward through the duct for 1 second.
As you’ve designed, implemented, and debugged your project, what new tools or new knowledge did you find it necessary to learn to be able to accomplish these tasks? What learning strategies did you use to acquire this new knowledge?
I had to learn several new tools and technical skills. I gained experience booting and setting up an NVIDIA Jetson Orin Nano, writing Arduino code, and wiring a Teensy microcontroller with ADCs, motors, and sensors. As I am more on the software track, I sought out help and did the wiring alongside Adithi, and that was very helpful.
To build this knowledge, I used online tutorials and YouTube videos to quickly get hands-on familiarity with the hardware and software tools. Since I was working on soldering in AirLabs, I got to ask the researchers there about their inputs and was helped by Mark. This helped me effectively troubleshoot issues and integrate different components into a working system.