← Back to inquiries
Technology inquiryInquiry 14

Field robots & assistants

Mechatronics — sense, decide, act

How can a robot assistant collect or act on evidence reliably in our place — with a safety plan?

Start investigation

Technology inquiry

Field robots & assistants

Mechatronics — sense, decide, act

Technological Practice · Outcome development · Mechatronics

Wero

How can a robot assistant collect or act on evidence reliably in our place — with a safety plan?

First step

Define one testable behaviour; run ten trials changing only one variable; log pass/fail with photo evidence.

What you will show

Behaviour protocol with iteration notes, failure modes named, and signed safety checklist.

Local place context

What terrain or obstacle course represents your local testing ground?

Technological Practice · Outcome development · Mechatronics

First step

Define one testable behaviour; run ten trials changing only one variable; log pass/fail with photo evidence.

Expected outcome

Behaviour protocol with iteration notes, failure modes named, and signed safety checklist.

You will assemble (or commission) a NuiBot, calibrate its sensors, and use it as your evidence-gathering partner in a class investigation. What NuiBot can sense reliably — and which sensor positions and intervals produce trustworthy data for your inquiry. Sensor calibration logs, baseline readings, and notes about reliability and drift.

Five ways you could investigate

Pick one to start — or write your own question. The AI mentor supports you gently inside your investigation.

  1. Idea 1

    Sensor threshold tuning

    What threshold best separates signal from noise in your site?

    Start with this question →
  2. Idea 2

    Delay timing reliability

    Does a 100 ms delay change behaviour outcomes?

    Start with this question →
  3. Idea 3

    Battery vs performance

    How does low battery change motor or sensor response?

    Start with this question →
  4. Idea 4

    Path repeatability

    Can the robot repeat the same path — what drift do you measure?

    Start with this question →
  5. Idea 5

    Human interference

    What environmental factor most disrupts consistent runs?

    Start with this question →

Five things you could build

Fabrication ideas linked to makerspace tools — 3D print, laser cut, Arduino, data products, and more.

  1. Build 1

    Custom sensor mount

    3D print the bracket your field evidence demands.

    Open in outcome selector →
  2. Build 2

    Arm extension tool

    Design a tool based on what the investigation found.

    Open in outcome selector →
  3. Build 3

    Robot enclosure base

    Laser-cut a base plate that stabilises wiring.

    Open in outcome selector →
  4. Build 4

    Behaviour log dashboard

    Visualise runs with pass/fail against your protocol.

    Open in outcome selector →
  5. Build 5

    Automated sampling routine

    Programme timed readings at defended intervals.

    Open in outcome selector →

AI mentor (inside your investigation)

No separate mentor page — support appears in your investigation workspace. It starts gentle: short prompts about your research context, data, and analysis. You or your teacher can turn assistance off for unassisted work, or request more help when you need it. It also guides fabrication choices tied to your evidence.

What other investigators found

Try this next

Before changing your sensor, map readings at three different positions to find where variation is highest.

What you will investigate
You will assemble (or commission) a NuiBot, calibrate its sensors, and use it as your evidence-gathering partner in a class investigation.
What you will collect
Date and time, Sensor
What you might make or share
A printed sensor mount, a logger script