Side-by-side comparison of PAUL (MetraLabs) and XiaoAo (Guangzhou Aobo Information Technology Co., Ltd.) — specs, pricing, Robo Index, and verified deployments. Updated daily.
Optimize comparison for buyer
Manufacturer Country


Year First Available


Verified Deployments


Price


Battery / Shift Runtime


Availability Status


Payload


Robot Weight


Dimensions


IP Rating


Navigation Type


Battery Runtime


Charge Time


Display Size


Price (USD)


Warranty


![]() | ||
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | Germany | China |
| Year First Available (values differ) | 2023 | 2024 |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Price (values differ) | $8,176 USD | $3,000–$11,888 USD |
| Battery / Shift Runtime | 8 hrs | 8 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical | ||
| Payload (values differ) | 250 kg | — |
| Robot Weight (values differ) | 31 kg | — |
| Dimensions (values differ) | 472 mm (L) x 640 mm (W) x 905 mm (H) | — |
| IP Rating (values differ) | IP44 | — |
| Navigation & Safety | ||
| Navigation Type (values differ) | — | lidar slam |
| Power | ||
| Battery Runtime | 8 hrs | 8 hrs |
| Charge Time (values differ) | 2 hrs | — |
| Display & UX | ||
| Display Size (values differ) | 15 " | — |
| Commercial | ||
| Price (USD) (values differ) | $8,176 USD | $3,000–$11,888 USD |
| Warranty (values differ) | 5 yrs | 1 yrs |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Tray Count, Compartment Type, Max Speed, Min Passable Width, Auto Docking, Hot-Swap Battery, Elevator API, PMS / POS Integration, Fleet Management, Floor Compatibility, Voice Interaction, Noise Level, Languages Supported, RaaS / Month
Same operating assumptions across every robot — the only difference is price. Set your numbers once to see which pays back fastest.
Annual labor displaced (per robot): $50,000
| Metric | PAUL | XiaoAo |
|---|---|---|
| Investment | $8,176 | $7,444 |
| Payback period | 2.0 mo | 1.8 mo |
| Net savings (5 yr) | $241,824 | $242,556 |
| ROI (5 yr) | +2958% | +3258% |
Estimates labor-cost displacement only — not a full total cost of ownership. Actual ROI depends on integration, maintenance, training, downtime, and task fit. Converted currencies are indicative; USD is the price of record.
Frequently asked
PAUL is made by MetraLabs, based in DE. XiaoAo is made by Guangzhou Aobo Information Technology Co., Ltd., based in CN.
PAUL launched in 2023. XiaoAo launched in 2024.
PAUL grades A on the Robo Index. XiaoAo grades AA. The Robo Index is a credibility grade (AAA … C) that blends commercial maturity, verified deployments, company standing, and independent coverage — see methodology for the full breakdown.
Both robots are classified as Hospitality Service on Robolist. Filters and ranking treat them as direct alternatives.
Hardware cost is one input. Hospitality Service TCO also includes integration, training, downtime, and end-of-life. Our breakdown: Service Robot TCO Across Hotels, Restaurants, Retail, and Senior Care.
Spec sheets only show part of the story. Useful vendor questions cover support, lifecycle, integration cost, and references. We have a buyer-focused checklist: Service Robot SLAs and Contract Red Flags.
Going deeper — picking the right robot
Service Robot TCO Across Hotels, Restaurants, Retail, and Senior Care
9 min readService Robots
Service Robot SLAs and Contract Red Flags
10 min readService Robots
Service Robot Pilot: A 60-Day Evaluation Framework
10 min readService Robots
Build vs buy vs lease: which model fits a first deployment
8 min readChoosing Your First Robot
The hidden specs vendors hope you'll miss
10 min readReading the Spec Sheet
Want to be notified when specs or pricing change for these robots? Drop your email.
PAUL vs XiaoAo compares two robots in the hospitality-service category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robo Index is calculated.