Students will launch the Zumo challenge by observing real robot performance, unpacking competition expectations with a robotics expert, and capturing first design ideas in a notebook and team mini-prototype. They will begin defining the problem in measurable terms, test an early movement or sensing behavior, and document evidence that will anchor later design decisions.

Students will investigate the Zumo challenge through expert input, technical research, and structured planning so they can define a measurable design problem, identify constraints, study existing approaches, and prepare a data-driven design brief and test plan for later prototyping.

Students will generate multiple Zumo robot concepts, compare them with evidence, critique one another’s ideas, and select a team approach for sensors, behaviors, and build priorities before moving into major construction.

Students will build and test rapid Zumo prototypes for opponent detection and boundary control, collect quantitative evidence with a shared test plan, use peer and coach feedback to choose targeted revisions, and document how code and design changes affect performance across repeated trials.

Students will analyze Zumo test evidence to diagnose failures, make targeted revisions to code and structure, retest with the same measures, and prepare a live technical story of how their robot improved through iterative engineering decisions before the judged mock tournament.

Students will present their autonomous Zumo robots and engineering portfolios to an authentic audience, compete in a judged mock tournament, explain how test evidence shaped revisions, and close the project with structured reflection on technical growth and teamwork.