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November 7, 2025

Embedded Calibration Rig for Actuator QA

Built a compact embedded calibration rig that reduced actuator setup time by 42% and standardized pass/fail logging across revisions.

EmbeddedAutomation/DataTesting/V&VRobotics/Actuation

Quick Specs

Role
Systems Integration Lead
Tools
Arduino, Python, Load Cell, CSV Telemetry, Fusion 360
Reading time
1 min read

Key metrics

Setup Time

-42%

Throughput

+28%

Repeatability

±1.8%

Embedded Calibration Rig for Actuator QA hero visual

Context

The team needed a repeatable way to calibrate actuator output before integration. Manual checks were slow and inconsistent between operators.

Requirements & Constraints

  • Verify torque output and response consistency in under 3 minutes per unit
  • Record pass/fail criteria with machine-readable logs
  • Keep hardware compact enough for bench-side use
  • Support quick fixture swaps between actuator variants

Approach

The rig pairs a load cell fixture with an embedded controller and a Python logging layer. The controller performs deterministic command sequences while the host app computes summary metrics and flags out-of-range behavior.

Cycle Duration

2m 35s

Per actuator validation sequence

Operator Steps

6 -> 3

Reduced setup interactions

Signal Drift

< 0.7%

Across 30-minute test windows

Testing & Validation

  • Repeated 30 calibration runs across three hardware revisions
  • Cross-checked load-cell output against reference bench instrument
  • Validated logging integrity with checksum and timestamp audits

Artifacts

RepositoryFirmware scripts and data processing notebooks

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