Based on our experience, we developed our own robot design tailored to the intended application. The design deliberately avoids the use of multiple sensors and relies only on the inbuilt gyroscope sensor for orientation and motion control. This approach simplifies the hardware, reduces system complexity, and improves reliability while maintaining effective performance. The mechanical structure and control strategy were designed to work closely with the gyro feedback to ensure stability and accurate movement. Overall, this is a simple yet robust robot design, and due to its effectiveness, we have documented the design process step by step for future reference and development.
For programming, we used Python and learned the required coding techniques through Prime Lessons provided by FLLTutorials.
Building attachments is a key aspect of our project. We learned how to design modular attachments from various YouTube channels and developed many innovative mechanisms to effectively solve the UNEARTHED missions.
By repeatedly following the Design, Create, Test, and Iterate model, we achieved consistent and reliable runs. This approach helped us reach our best score of 445 in the Qualifiers Round, where we emerged as the first-place champions. 🏆