After completing the simulations, we built a single-stage rocket and launched it with a small Wi-Fi camera attached. During the launch, we recorded the rocket’s flight and collected data such as maximum altitude, flight path, and overall stability. We then compared the experimental results with the simulation predictions from RockSim and the NASA Rocket Modeler. By analyzing the similarities and differences, we evaluated the accuracy of the simulation and discussed how factors such as wind, construction quality, and weight distribution affected the rocket’s real-world performance.

Our group programmed a RoboLink drone in Python to autonomously detect different colored surfaces using a continuous while True loop. The drone kept flying while the detect variable remained False. Inside the loop, an if statement constantly checked the color sensor readings. When a target color was detected, the condition became True, causing the drone to stop, land safely, and display the detected color on the screen. After waiting for a short period, the drone took off again, reset the detection status to False, and continued searching. This logic allowed the drone to repeatedly patrol, detect, respond, and resume its mission without user intervention.

We modified a foam propeller plane to maximize both flight distance and altitude when launched from a five-degree incline. We experimented with different design changes, including adjusting the wing position, balancing the center of gravity, and reducing unnecessary weight. After each modification, we tested the plane multiple times and compared its flight performance. Based on the results, we refined the design to improve stability and efficiency. Through this iterative engineering process, we learned how small structural changes can significantly influence aerodynamic performance and overall flight capability.