Make robot behavior measurable
Students connect movement commands to real distance, angle, drift, sensor readings, calibration, and repeatable tests. The level progresses from first safe motion to a state-based autonomous delivery mission.
ROBOTICS TRACK / LEVEL 03 ROADMAP
Turn code into controlled motion, measure what the robot actually does, calibrate sensors, and create basic autonomous navigation.
This is the intended learning path, not a released course or hardware promise. The provisional Arduino Alvik platform must pass physical motion, sensor, restart, battery, and safe-stop testing before this level’s plan can be frozen. Do not purchase Level 3 hardware from this page yet.
Students connect movement commands to real distance, angle, drift, sensor readings, calibration, and repeatable tests. The level progresses from first safe motion to a state-based autonomous delivery mission.
PROVISIONAL HARDWARE
The current candidate combines motors, encoders, distance sensing, line and color sensors, and an IMU on one platform while preserving the Arduino programming progression.
The C++ toolchain has compiled, but the real robot must still demonstrate the complete sensor, motion, restart, battery, and emergency-stop workflow. Hardware-dependent lesson details may change after that test.
Planning estimate: $140–$190 incremental before tax and shipping. This is a cost band, not a current shopping recommendation.
PLANNED LEARNING ARC
Verify the platform and make the first wheel-off-floor motion with a proven stop.
Connect two independently driven wheels to straight motion and turning.
Create a small, reusable language for safe robot actions.
Compare commanded motion with measured distance and record repeatability.
Measure obstacles and define a bounded stop behavior.
Measure contrast, account for ambient light, and establish useful thresholds.
Use explicit sensor rules and fixed corrections to follow a route.
Calibrate readings and turn color evidence into a validated command.
Measure rotation, compare trials, and describe uncertainty.
Sequence a mission, handle one bounded failure, and stop safely.
Combine motion, calibration, sensors, states, and safety through subsystem tests.
Run comparable trials, improve one variable, and explain the evidence.
CAPSTONE + READINESS
The planned robot starts safely, follows a route or checkpoint sequence, uses at least two sensor types, reaches a destination, and stops safely.
Students should be able to explain unequal motor behavior, gather repeated measurements, calibrate a sensor, tune one variable at a time, and distinguish one successful run from repeatable performance.