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 official specs, run benchmarks where possible, and collect real-world usage data from operators and owners.
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.
Score Interpretation
| Range | Rating | Meaning |
|---|---|---|
| 90–100 | Exceptional | Best-in-class. Excels across most dimensions. |
| 80–89 | Excellent | Strong performer with minor trade-offs. |
| 70–79 | Good | Solid choice for most use cases. |
| 60–69 | Average | Gets the job done but has notable weaknesses. |
| Below 60 | Below Average | Consider alternatives unless uniquely suited. |
See It in Action
Browse our database and see how RoboScore helps you compare robots objectively.