Franco G

Arduino UNO

Unity Calculator

Introduction to Soldering

Self-Balancing Arduino Segway

Augmented Reality 3D Object Placer, Guidance System, Maze Game

AI-Powered Plotter, Reinforcement-Learning Inverted Pendulum, and AI-Chatbot Website

Sokoban Game and AI

Drone

Learning Module #1

Arduino UNO

In Learning Module #1, Franco worked with Robert and they experimented with many different sensors, motors, and motor shields. These included ultrasound, moisture, gyroscope, buttons, stepper motors, and HC-05 Bluetooth module. Franco originally tested an MPU6050 gyro, but it had noticeable drift and innacuracies the longer it was used. He created a simple app using MIT App Inventor to transmit his phones gyro data to the Arduino to provide consistent and precise readings which he plans to use in a future Learning Module.

Link to Final Write-Up #1

Link to Log #1

Learning Module #2

Unity Calculator

In Learning Module #2, Franco and Paul worked together to create a Unity app to create a weight descension plan for wrestlers. Franco primarily focused on teaching Paul everything he knew about programming in Unity, and they made progress in the 7 days they worked together.

Link to Final Write-Up #2

Link to Log #2

Learning Module #3

Introduction to Soldering

In Learning Module #3, Franco worked with Angelina to work on their soldering skills. Franco's participation in Robotics provided him with prior experience in soldering though it is always good to practice. Both Franco and Angelina watched videos on soldering and welding to expand their knowledge and finished soldering their practice boards together.

Link to Final Write-Up #3

Link to Log #3

Learning Module #4

Self-Balancing Arduino Segway

In Learning Module #4, Franco and Nico collaborated on an Arduino-based self-balancing Segway, aiming for stability and Bluetooth phone control, focusing on programming and 3D printing. They solved Bluetooth connection issues by restoring the HC-05 chip to factory defaults, despite the hassle of disconnecting and reconnecting wires. Successfully achieving their main goal of a self-balancing Segway, they programmed an app to drive the Segway via phone with Bluetooth. Franco learned about simultaneous Arduino serial communication and Bluetooth configurations, while Nico expanded his design skills coming from Fusion360 (learned from participation in WH Robotics club), by trying out OnShape and MakerBot. Their future goals are to integrate more sensors refine their code. Though they don't plan an immediate revisit, Franco and Nico aim to apply their newfound experience in future endeavors, and potentially reprogramming the Segway to balance using a neural network to replace the PID Loop.

VID_20231102_214704487.mp4

Arduino Balancing Segway

Link to Final Write-Up #4

Link to Log #4

Learning Module #5

Augmented Reality 3D Object Placer, Guidance System, Maze Game

Franco and Quinn planned to create an augmented reality app in Unity for visualizing furniture and objects in real-world settings. Despite multiple initial problems with computer setups, unity versions, and platform differences (Android versus iOS), they successfully created prototypes of the app, with Franco coding for Android and Quinn for iOS, albeit without successful testing on her end. The app encountered minor bugs and issues with Unity's plane detection but provided a valuable learning experience in Unity, C# programming, and augmented reality concepts. They advised using personal computers for efficiency and recommended exploring augmented reality for its educational value, even if not pursued as a project. Overall, they found the project enriching despite its challenges.

screen-20231214-184540.mp4

Learning Module 5

Link to Final Write-Up #5

Link to Log #5

Learning Module #6

AI-Powered Plotter, Reinforcement-Learning Inverted Pendulum, and AI-Chatbot Website

Franco and Nico collaborated on creating an AI-Powered Plotter, Inverted Pendulum, and Franco also created an AI-Chatbot website. Nico prioritized constructing the inverted pendulum and Plotter using materials they had from previous projects they've done. Both the Plotter and Inverted Pendulum used the same motors and rails. Franco prioritized connecting an AI Art Generator to the Plotter, allowing prompts to be drawn through converting Images to G-Code on the plotter. Franco also spent time training a DQN Network with Reinforcement Learning.

VID_20240124_222659364~2.mp4

VID_20240201_231920896.mp4

Franco and Nico G ~ Learning Module #6

Link to Final Write-Up #6

Learning Module #7

Sokoban Game and AI

Franco and Tanner collaborated on creating a Sokoban Game and Reinforment Learning Agent that could play the game in Unity. While Franco prioritized working on Unity and ML-Agents, Tanner created a web version of the game as well as a Unity Scene.

Link to Final Write-Up #7

Try to play the web version below! (Press any key to start, Use WASD or Arrow Keys to move around, and push all the crates onto the green areas to move on!)

Sokoban Game - Tanner and Franco

Sokoban Website Script 2024-03-22 013221.mp4

Sokoban Game Website & Solution

ML-Agents PushBlock 2024-03-26 003528.mp4

ML-Agents Trained

ML-Agents PushBlock V2 2024-03-26 075711.mp4

ML-Agents Competing

Learning Module #8

Drone

Franco, Nico, and Angelina designed and built a drone entirely using a 3D printer. Using an F4 Flight Controller, they configured the drone and allowed all of the motors to be controlled when connected. Through the software, they were able to manually spin the motors so they were able to achieve short flights, though they lack a transmitter and receiver.

Link to Final Write-Up #8

flyingTrimmed.mp4

Learning Module #8 - Flying Drone

gyro.mp4

Report abuse