Lab manual
lab2-hand-eye
Lab 2 · Hand-eye calibration
- Goal
- Solve the camera-to-motion relationship with the nine-point method, and see why the two configurations must not be mixed up.
- Estimated time
- 45min
- Level
- Introductory
- Prerequisites
- Complete Lab 1.
Goal
Solve for T_World_Cam — and deliberately produce the illusion of "wrong configuration, small
residual".
Steps
- Confirm C1 pixel size is done and still valid (
Calibration → Overview). Calibration → Hand-eye, configuration eye-to-hand, nine points, 60 mm span.- Record residual RMS and verify deviation.
- Get it wrong on purpose: switch the configuration to eye-in-hand and re-solve on the same data. Record the residual — it may still be small.
- Use the verify deviation to decide which one is right.
- Close the loop: click a point in the image, let the stage move there, measure how far off it lands.
Pass criteria
| Item | Criterion |
|---|---|
| Step 3 residual RMS | < 0.03 mm |
| Step 3 deviation | < 0.05 mm |
| Step 4 residual | possibly just as small — that is the point of this lab |
| Step 4 deviation | far outside tolerance |
| Step 6 closed-loop error | < 0.08 mm |
Common mistakes
- Wrong configuration. No error is raised; you get a small residual and a wrong answer.
- Nine points in a line. The matrix is near singular and the solve is unstable. Spread them into a grid.
- Touching the camera mid-run. The extrinsics change and every earlier pose is invalid.
- Solving and verifying on the same data. The residual is guaranteed to look good and proves nothing.
Review questions
- Why can the residual stay small when the configuration is wrong? What does that say about "self-consistent" versus "correct"?
- What happens if the nine points form a 3×3 grid with only 2 mm spacing? Sketch how the condition number changes with span.
- In the closed-loop error, how much comes from hand-eye, how much from pixel size, how much from motion? Decompose it with the error budget method.