R16-U1 · usually age 16 · Autonomy Innovators
Images as Sensor Data
How does a robot see objects?
Outline: sessions not yet written
Build: Camera-based colour tracker
- Sense
- Test and debug
Who it is for
Age is a starting point, never a limit. A learner who can show what this unit starts from can begin here at any age.
- How they learn
- By designing systems in C++ or Python, using simulation as preparation, and proving behaviour with measured trials.
- The adult's role
- An adult reviews safety, tools and higher-risk subsystems.
- Session
- 90–120 minutes
- Hardware
- Arduino, Raspberry Pi Pico, ESP32 or a Raspberry Pi computer. Many of these boards are 3.3 V: use level shifting for 5 V parts. Advance only after driver and power competency.
Starts from
Analog readings in code
Read an analog value in code and scale it to a range.
Built in R12-U3 Sensors and Actuators
Failure analysis
Analyse failures and justify a change with test data.
Built in R13-U4 Rescue Rover Mission
Builds, and what it is the input for
Vision
Use camera images as sensor data and measure how reliable detection is.
Input for R16-U2 Object Detection and Actuation, R16-U3 Machine Learning Literacy
In the studio today
No studio lab or activity for this unit yet.
Outline: sessions not yet written
This unit is an outline: a title, a question and an intended prototype. Its sessions, materials and adult guide are not written yet.
- Ideas
- pixels · colours · lighting · privacy
- Evidence of learning
- Record detection performance in varied lighting.