R16-U2 · usually age 16 · Autonomy Innovators
Object Detection and Actuation
How can vision control a physical action?
Outline: sessions not yet written
Build: Vision-triggered conveyor or servo sorter
- Sense
- Decide
- Act
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
Vision
Use camera images as sensor data and measure how reliable detection is.
Built in R16-U1 Images as Sensor Data
Joint control
Move robot joints to measured, repeatable positions.
Built in R15-U2 Position and Motion
States
Describe and program behaviour as states, with a state diagram.
Built in R13-U3 Autonomous Behaviour
Builds, and what it is the input for
Latency
Measure and budget the delay from sensing to acting.
Input for R16-U4 Sort for a Purpose, R17-U1 Robotics Software Systems
Communication between boards
Send messages between boards (serial or I²C) and handle a lost message.
Input for R17-U1 Robotics Software Systems
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
- image processing · latency · interfaces
- Evidence of learning
- Measure detection-to-action reliability.