Lesson 51 of 78 · Sensors, Actuators & Embedded Behavior
Sensors, Metrology & Uncertainty
Choose a sensor by first defining the measurand: “shaft angle relative to housing at the control-loop update instant,” not merely “position.” NIST’s manufacturing robotics work emphasizes metrics and test methods because capability must be expressed and verified consistently 1.
Static and dynamic characteristics
Consider range, resolution, sensitivity, offset, linearity, hysteresis, repeatability, drift, cross-sensitivity, bandwidth, delay, environmental rating, mounting influence, and failure behavior. A precise sensor mounted to a flexible bracket measures bracket motion too.
Combine uncertainty honestly
Suppose a distance result has independent standard uncertainties of 0.08 mm from calibration, 0.05 mm from repeatability, and 0.06 mm from temperature compensation. Root-sum-square combined standard uncertainty is
An expanded uncertainty might multiply by a stated coverage factor. Do not RSS bounds that are biased, correlated, or not statistical.
Sensor diversity
- encoders measure angular or linear position but need referencing and alignment;
- strain gauges infer load from deformation and require bridge conditioning and thermal compensation;
- inductive/capacitive/photoelectric sensors detect presence with material and environment dependencies;
- force-torque sensors enable interaction but can saturate under impacts;
- vision measures many features but depends on optics, lighting, calibration, occlusion, and computation.
Fail detectably
Design plausible diagnostics: out-of-range, stuck value, implausible rate, disagreement between redundant channels, missed heartbeat, broken-wire state, reference-target check, or limit-switch inconsistency. A numeric value is not necessarily valid data.
Sensor selection dossier
For a part-present and position task, compare three sensing principles. State measurand, target variability, environment, required uncertainty, update rate, false-positive/negative consequence, mounting, calibration, diagnostics, and acceptance test. Select the sensor plus its fixture, lighting or target, wiring, and software check as one measurement system.
Source trail
References
- 1Robotic Systems for Smart Manufacturing Program. National Institute of Standards and Technology. verifiedMeasurement science, performance metrics, test methods, interoperability, planning, agility, and collaborative workcell integration. Cited at: measurement approach.
Further reading
- Design of Electromechanical Robotic Systems. MIT OpenCourseWare. verifiedOpen textbook, assignments, laboratories, and projects for system design under measurement, environmental, and modeling uncertainty.
Check your understanding
- What is the measurand?
- The specific quantity intended to be measured
- The sensor brand
- The display color
- The cable length only
Measurement begins by defining the quantity, conditions, location, and time basis intended.
- Repeatability alone proves what?
- Results cluster under repeated conditions
- Results are true
- The sensor has no bias
- Calibration is unnecessary
A system can repeat the same biased answer; accuracy and traceability require more evidence.