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Accuracy Budget — Robot-Carried Inspection Sensor

RSS error-stack for robot-carried inspection sensor: four dominant terms vs the process requirement.

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RSS total (±) (µm)
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Worst-case sum (±) (µm)
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Margin vs requirement (%)

Measurement cells expose the dirty secret: robots repeat ~10× better than they position absolutely. Calibrated absolute accuracy (the 150 µm term) decides whether robot-carried scanning can certify a dimension or merely flag outliers for the CMM.

Formula

e_RSS = √(e₁² + e₂² + e₃² + e₄²) — independent error sources
References: ISO 9283 — Manipulating industrial robots: performance criteria; Craig, J., Introduction to Robotics: Mechanics and Control, 4th ed.

Note: Planning-level engineering estimate — final robot selection, guarding layout and risk assessment must follow the integrator's calculations and a documented ISO 12100/10218 risk assessment.

Disclaimer: This tool is for general informational and estimation purposes only and is not professional financial, tax, accounting or legal advice. All figures are estimates — verify with a qualified professional before making decisions. Read the full disclaimer.

RSS error-stack for robot-carried inspection sensor: four dominant terms vs the process requirement. A free industrial robot kinematics & cell design tool — no sign-up, no upload, instant results in your browser.

About Accuracy Budget — Robot-Carried Inspection Sensor

Accuracy Budget — Robot-Carried Inspection Sensor computes the governing relationship e_RSS = √(e₁² + e₂² + e₃² + e₄²) — independent error sources live as you type. Measurement cells expose the dirty secret: robots repeat ~10× better than they position absolutely. Calibrated absolute accuracy (the 150 µm term) decides whether robot-carried scanning can certify a dimension or merely flag outliers for the CMM. Defaults are pre-filled with realistic values for this exact scenario, and the worked example substitutes your numbers step by step so the math is never a black box.

How to use Accuracy Budget — Robot-Carried Inspection Sensor

  1. 1Enter your values — Repeatability, Absolute accuracy residual, Sensor noise, Temperature drift and more (sensible defaults are pre-filled).
  2. 2Read the live results: RSS total (±), Worst-case sum (±), Margin vs requirement.
  3. 3Check the "with your numbers" line to see e_RSS = √(e₁² + e₂² + e₃² + e₄²) — independent error sources substituted step by step.
  4. 4Adjust inputs until the scenario matches yours, then copy or share the result.

Why use Accuracy Budget — Robot-Carried Inspection Sensor?

  • Instant, free and private — every calculation runs client-side in your browser; nothing is uploaded
  • Built on the stated formula e_RSS = √(e₁² + e₂² + e₃² + e₄²) — independent error sources with authoritative sources cited on the page (ISO 9283 — Manipulating industrial robots: performance criteria; Craig, J., Introduction to Robotics: Mechanics and Control, 4th ed.)
  • Measurement cells expose the dirty secret: robots repeat ~10× better than they position absolutely.
  • Niche-specific defaults give a meaningful worked answer the moment the page loads

Frequently asked questions

What formula does the accuracy budget — robot-carried inspection sensor use?+

It evaluates e_RSS = √(e₁² + e₂² + e₃² + e₄²) — independent error sources, exactly as published. Sources: ISO 9283 — Manipulating industrial robots: performance criteria; Craig, J., Introduction to Robotics: Mechanics and Control, 4th ed.. The substituted worked example on the page lets you verify every step against the textbook.

How should I read the result — and how far can I trust it?+

Measurement cells expose the dirty secret: robots repeat ~10× better than they position absolutely. Planning-level engineering estimate — final robot selection, guarding layout and risk assessment must follow the integrator's calculations and a documented ISO 12100/10218 risk assessment.

When is this calculator the right tool for the job?+

RSS error-stack for robot-carried inspection sensor: four dominant terms vs the process requirement. A free industrial robot kinematics & cell design tool. Calibrated absolute accuracy (the 150 µm term) decides whether robot-carried scanning can certify a dimension or merely flag outliers for the CMM. For neighbouring scenarios, the related tools below cover the same engine with different presets.

Do I need to install anything or create an account?+

No. The tool is pure client-side JavaScript: open the page and it works, offline once loaded, with no account, no quota and no data leaving your device.

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