Robot Advisor
Rank & shortlist industrial robots by your priorities
Pick a class, weight what matters, payload, reach, repeatability, speed, power draw, and the field is ranked by a fit score. It is the same weighted multi-criteria approach (MCDA / SAW) used in real machine-selection, run over public datasheets.
Guidance only. Fit scores reflect the public datasheet specs published here and the weights you set, not application testing, cell constraints, controller ecosystem or commercial terms that decide real purchases. Always verify against manufacturer sources.
How the Robot Advisor works
The Advisor applies multi-criteria decision analysis (MCDA), specifically a weighted additive model (SAW). Every candidate in a class is normalised against its peers, weighted by your priorities, and ranked by the resulting fit score.
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Pick a robot class
Choose the class you are sourcing: collaborative cobot, articulated arm, SCARA, delta, palletizer, mobile robot and more.
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Weight your priorities
Set how much payload, reach, repeatability, speed, cycle time and power draw each matter, or apply a preset like Heavy payload or High precision.
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Read the ranked shortlist
Every robot in the class is normalised and scored, returning a fit percentage with the specs each option is strongest on.
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Compare the finalists
Tick two to five options to open a full side-by-side spec sheet for your down-select.
What the score is built from
Direction-aware normalisation
Higher-is-better specs (payload, reach) and lower-is-better specs (repeatability, cycle time, power draw) are each scaled 0 to 1 within the class.
Your weights
Importance sliders (0 to 5) or presets set how much each factor counts.
Data coverage
A light penalty stops a sparsely-documented robot from topping the list on one lucky spec.
Class-relevant criteria only
Each class exposes only the specs it actually has public data for, cobots show payload-at-reach, palletizers show cycle time.
Frequently asked questions
How do I choose between two similar industrial robots? +
Define your priorities as weighted criteria: payload, reach, repeatability, speed, cycle time and power draw, then score each candidate against those weights. The Industrial Robotics Hub Advisor does this automatically for every robot in a class using a weighted additive (SAW) model, the standard multi-criteria approach used in real machine-selection.
What is a "fit score"? +
A fit score is a 0 to 100% rating of how well a robot matches the priorities you set. Each spec is normalised against the rest of its class (best value in the set scores highest, worst scores lowest), multiplied by your weight for that criterion, and summed. A higher fit score means the robot better matches what you said mattered, not that it is objectively best.
Which specs matter most when choosing a cobot? +
Buyers typically weight payload and payload-at-reach (can it lift the part plus the gripper across the working envelope), reach (does it cover the machine or cell), repeatability (does it seat parts without a vision search), plus IP rating and cycle time. The Advisor exposes exactly the criteria that have public data in each class, so cobots, SCARA arms and palletizers each show their own relevant factors.
Should I size payload for the part or the gripper too? +
Always size for the part plus the end-of-arm tooling. A dual or chuck-mating gripper can add several kilograms before the part is even in hand, so a robot rated well above the bare part weight gives you the headroom you need. The Advisor lets you weight payload and payload-at-full-reach separately for exactly this reason.
Does the Advisor account for integration cost and lead time? +
No. It ranks on published performance specs only. Real projects also turn on cell integration cost, safety engineering, controller ecosystem, spare-parts availability and lead time, which must be confirmed with the manufacturer or integrator. Use the Advisor to build a shortlist, then take finalists to quote.
Is the ranking authoritative? +
No. It is decision-support guidance built from public datasheets and the weights you choose. It does not include application-specific testing, cell-level constraints or commercial terms that decide real purchases. Always verify against manufacturer datasheets and a pilot.