Prototyping Workflow ==================== Prototyping is the structured process of turning an idea into something you can physically test. In robotics, the goal is not to build a perfect system immediately, but to learn as quickly as possible. A strong workflow reduces wasted materials, shortens decision time, and replaces assumptions with data. Efficient teams prototype early, test often, and use evidence to guide every major design choice. Workflow Steps -------------- - Rapid concept prototypes (cardboard, foam) These are quick, low cost builds created to explore geometry and motion. Cardboard, foam board, tape, zip ties, and simple 3D prints are ideal. The focus is speed and learning, not durability. If a concept takes more than a day or two at this stage, it is likely too complex. - Functional prototypes (materials that work) Once the basic idea is validated, move to stronger materials such as aluminum, bearings, gears, chain, or belts. Functional prototypes test real loads, torque, and structural stability. This stage answers whether the mechanism can perform reliably under competition conditions. - Integration prototypes (full systems) Subsystems rarely fail alone. They fail when combined. Integration prototypes bring mechanisms together to test spacing, wiring, weight distribution, control logic, and driver interaction. Many hidden issues only appear once components operate as a system. - Competition-ready build The final version should be informed by everything learned during earlier iterations. This build emphasizes durability, clean wiring, serviceability, weight optimization, and consistency. By this point, the design is no longer experimental — it is intentional. Iteration Cadence ----------------- Effective teams follow a tight build test decide cycle. Early in the design phase, prototypes should be built and evaluated within 24 to 72 hours. Avoid spending weeks debating ideas without physical validation. After each test, clearly decide whether to keep, modify, or abandon the concept. The faster your feedback loop, the stronger your final robot will be.