RoboScore Methodology
Our scoring system is fully public. No black boxes. No pay-to-play. Every score is explainable.
How It Works
Every robot in our database receives a RoboScore from 0 to 100. This score is a weighted average of 8 individual dimension scores, each measuring a distinct aspect of the robot's capabilities.
Each dimension is scored independently on a 0–100 scale, then combined using the weights below. The result is a single number that represents the robot's overall quality — while the breakdown shows exactly where it excels and where it falls short.
Example: Perfect Scores
If a robot scored 100 on every dimension
The 8 Dimensions
Performance
Speed, accuracy, throughput, task completion rate
We measure task-specific metrics: suction power for vacuums, payload capacity for industrial arms, picks-per-hour for warehouse AMRs. Raw capability under real-world conditions.
Reliability
Uptime, MTBF, build quality, warranty coverage
Based on manufacturer MTBF data, warranty terms, build quality assessment, and real-world failure reports from operators. Longer track records score higher.
Ease of Use
Setup time, learning curve, documentation, UX quality
How quickly can a new user set up and operate the robot? We evaluate unboxing experience, app quality, programming interfaces, and documentation completeness.
Intelligence
Autonomy level, sensor fusion, decision-making capability
Autonomy level, sensor suite quality, mapping accuracy, object recognition, and decision-making capability. Can it handle unexpected situations without human intervention?
Value
Price-to-capability ratio, TCO, ROI timeline
Price-to-capability ratio considering the total cost of ownership — not just sticker price. We factor in maintenance costs, consumables, and expected operational savings.
Ecosystem
Integrations, accessories, community, vendor support
Integration breadth (APIs, smart home, WMS), accessory availability, third-party support, community size, and vendor stability. Proprietary lock-in reduces this score.
Safety
Certifications, collision avoidance, fail-safes
Certifications (ISO, UL, CE), collision avoidance systems, force-limiting, emergency stop reliability, and compliance with relevant safety standards for the category.
Design
Industrial design, ergonomics, form factor
Industrial design quality, ergonomics, space efficiency, and visual coherence. A minor factor but relevant for consumer products and shared workspaces.
Our Process
Data Collection
We gather manufacturer specifications, official documentation, and documented public sources — press coverage, published deployment reports, and regulatory filings.
Dimension Scoring
Each dimension receives a 0–100 score based on objective criteria calibrated against the full database.
Weighted Average
Dimension scores are combined using fixed weights (shown above). The formula never changes based on the robot.
Peer Review
Scores are reviewed for consistency across the category. We recalibrate when new robots shift benchmarks.
Editorial Independence
Manufacturers cannot pay to influence scores. We don't accept sponsored reviews. Our revenue comes from affiliate commissions and subscriptions — never from manufacturers trying to boost their ratings.
If we discover a conflict of interest, we disclose it publicly and re-score affected robots. Editorial independence is our core value proposition.
How Scores Actually Distribute
As of August 2026, scored robots range from 60.5 to 92.5 with a median of 79. Scores cluster tightly — most robots sit within a few points of each other — because robots competing in the same category are often genuinely comparable. The headline number tells you the tier; the dimension breakdown and the weight tool below tell you which robot fits your priorities.
| Range | Share of database | How to read it |
|---|---|---|
| 90–100 | <1% | Rare. Only a handful of robots score here. |
| 80–89 | ~40% | Strong across the weighted dimensions — compare breakdowns to separate them. |
| 70–79 | ~57% | The median robot lives here. Differences show up in the breakdown, not the headline. |
| 60–69 | ~2% | Trails its category on several weighted dimensions. |
| Below 60 | None | Robots without enough verifiable data are left unscored — never scored low by default. |
Score a Robot Your Way
Every buyer has different priorities. Adjust the weights below to see how your use case changes what matters most. A warehouse manager might weight Performance at 40% and Design at 0%. A hospital administrator might weight Safety at 30%.
Weight Distribution
Standard vs Your Weights
Weights auto-normalize to 100%. Drag any slider to see how your priorities differ from the standard RoboScore methodology.
See It in Action
Browse our database and see how RoboScore helps you compare robots objectively.