Design
Turn ambition into a testable mechanism, program, strategy, or learning experiment.
OtterBots, FTC Team 36009 at Lewis Middle School, educates students to build the next frontier—bringing students, mentors, families, and community together to turn human ambition into real capability.

Progress begins with people: students willing to ask difficult questions, mentors who share experience, families who create opportunity, and a community that believes young people can solve meaningful problems. Frontier technologies amplify curiosity and capability; they never replace thought, effort, or accountability.
Progress is not a single breakthrough. It is a disciplined loop in which every test improves the next decision and every lesson becomes a foundation for the next student.
Turn ambition into a testable mechanism, program, strategy, or learning experiment.
Capture timing, accuracy, reliability, behavior, constraints, and unexpected outcomes.
Compare evidence with the goal. Find the bottleneck, contradiction, or failed assumption.
Change one meaningful variable, test again, and retain only measured progress.
Make the improvement repeatable through feedback, documentation, training, and safe limits.
Students define the goal, make the decision, test the machine, and accept responsibility for the result. Mentors and Frontier tools expand what they can attempt without taking ownership away.
Microsoft Scout connects research, code, design tools, testing, and publishing so students can bring the right context into the moment they are solving a problem.
Our LLMWiki transforms sources, decisions, experiments, contradictions, and procedures into durable team knowledge. Every student inherits a stronger starting point and leaves one behind.
A robot does not move in abstractions. Mass, torque, traction, inertia, geometry, timing, and uncertainty all meet on the field. Digital Twins help students see those relationships sooner—and arrive at the physical robot with better questions.

Field geometry, travel distance, sightlines, traffic, scoring state, and alliance timing shape every mechanism we build.

We turn motor curves, gearing, mass, wheel behavior, launch geometry, and cycle time into hypotheses the physical robot can confirm or reject.

Simulation proposes. Testing decides. Every difference between the Digital Twin and the field becomes a calibration task—and another opportunity to learn.
We borrow the logic of reinforcement learning for team development: take a bounded action, observe honestly, reward reliable improvement, and update what happens next. Mentors guide without taking ownership. Teammates challenge and support one another. The result is a student who knows how to learn, adapt, and lead through change.
Interactive diagrams, full comments, downloadable Blocks files, JavaScript, and student-friendly math explainers.
Visit Code Lab →02Engineering decisions, control systems, professional learning, community resources, sustainability, and student ownership.
See what we are building →03Use our Roblox Simulation to explore scoring cycles, traffic, parking, and alliance decisions.
Launch Roblox Simulation →Every technical choice becomes more valuable when students can explain the alternatives, evidence, result, and next decision. Microsoft Scout expands action; our LLMWiki preserves learning; human ambition sets the direction.
student@otterbots:~$ season-loop
01 → Ask a precise question.
02 → Design and document alternatives.
03 → Test the Roblox Simulation and physical robot.
04 → Measure, learn, and iterate.
05 → Let every student explain the evidence.