Our Robot design was based on our last season MARC III 24.3. We upgraded the design: lowered center of gravity, improved attachments, created reusable block code, and added gyro recalibration.
MARC V-1
Based on last season MARC III 24.3
It has two arm slots on the front.
It has several slots for attaching passive arms.
It has four sensors: Gyro, Distance, Color, Motor rotations.
We used Lego Word Blocks to program our robot.
Designed with BrickLink Studio.
Mission Strategy
Our mission strategy focused on scoring smarter, not harder. We carefully studied each mission’s rules, points, and difficulty, then selected high-value, low-risk missions that were close together on the field. We grouped missions by location and attachment type to reduce driving time and attachment changes, and we planned the run order to maximize efficiency and consistency. Early testing helped us eliminate unreliable missions, and we continuously refined our strategy through practice and iteration to ensure repeatable runs and reliable scores.
ARMS AND ATTACHMENT
Our robot’s arms and attachments were designed to be simple, strong, and reliable. We used lightweight, modular attachments that could be quickly swapped during runs, reducing setup time and errors. Each attachment was built for a specific mission task, allowing precise alignment and consistent performance. Through repeated testing and iteration, we reinforced weak points and removed unnecessary parts, improving durability and accuracy. This focused design helped our robot complete missions consistently and efficiently during matches.
SOFTWARE
Our software was designed for consistency, accuracy, and easy iteration. We created custom block programs for common actions such as moving forward, backward, turning, and controlling the arms, which allowed us to reuse the same code across multiple runs and reduce errors. Using these standard blocks made our programming more reliable and saved development time. We also used the gyro sensor to continuously recalibrate the robot’s heading, so small drift or misalignment would not affect mission performance. This approach helped ensure repeatable runs and dependable results during competition.