XMAN-R1
Wheeled humanoid greeter-and-server for mid-scale hotels and restaurants with multi-robot ecosystem
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Turn robot research into a buying decision.
A buyer-facing summary of site fit, ROI confidence, supplier readiness, and the next action Robofy should capture.
Use this moment to capture buying intent before the user drifts back into research mode.
Directional estimate based on price, labor offset, and readiness scores.
Local configuration required
Future
How it stands in your space.
Side-by-side with a 180 cm adult, so you can feel the robot's footprint, height, and presence before it ever rolls in.
Compared with a 180 cm adult, XMAN-R1 stands at approximately waist-to-chest height.
180 cm adult
Specifications
What this robot can do.
- Obstacle avoidance
- Multi-floor
- Elevator support
- Voice interaction
- Screen interaction
- Autonomous charging
- Fleet managementRequires building integration
- Indoor
- Outdoor
Should you deploy it?
0–100 — higher is stronger, except where noted.
How operationally ready this robot is for production deployment today.
Confidence in the published ROI numbers — how likely the savings actually materialize.
Share of the human task this category can credibly offload.
Fit with your target environment — lighting, floor type, congestion.
Expected maintenance load and downtime risk. Lower is better.
Long-horizon strategic upside — where the platform points 3+ years out.
Buy if you operate a 100+ seat restaurant or 200+ room hotel and can afford pilot integration with Keenon's full cleaning-robot stack. Skip if your venue is carpeted or has heavy foot traffic where wheeled platform would struggle. Keenon makes a compelling financial case by leasing robots for less than half the cost of local labor, especially in high-income or aging markets.
Opens Keenon's own product page in a new tab. Robofy is independent — we research and compare, but pricing and orders happen on the manufacturer's site.
When to deploy this.
- Large airport hotel lobby with 300+ rooms, requiring 24/7 guest greeting and information desk duty across multiple shifts
- High-volume hot-pot restaurant chain (200+ seats) handling peak-hour table service alongside delivery logistics
- Urban boutique hotel testing front-of-house automation with coordinated room-cleaning robot matrix
When to skip it.
- Wheeled platform performs poorly on thick carpet or uneven outdoor surfaces typical of suburban venues
- No public pricing or lease terms; pilot status means long sales cycles and custom integration costs not yet transparent
- Closed ecosystem lock-in — requires bundling with Keenon's KLEENBOT and DINERBOT fleet for full task coordination
What's verified, what's estimated.
Robofy separates manufacturer-confirmed facts from operator estimates. Anything not yet press-sourced or supplier-confirmed is tagged so you can decide how much weight to give it.
Official specifications sourced from company news (PR Newswire, Keenon.com) and third-party robotics databases (Humanoid.guide, Ronomics) dated March–February 2026. Payload, dimensions, and exact battery runtime remain undisclosed; estimates inferred from CES 2026 demonstrations and Shangri-La Traders deployment case study. Pricing and lease terms not yet publicly available. Fleet coordination and VLA (Vision-Language-Action) capabilities documented in Keenon's KOM 2.0 whitepaper references and integration tests with W3, S100, C40, and T10 robots.
- Deployment readinessInferred
- ROI clarityInferred
- Labor replacement potentialInferred
- Environment fitInferred
- Maintenance riskInferred
- Future potentialInferred
- Price rangeEstimated
- Lease rangeEstimated
- PayloadEstimated
- Battery lifeEstimated
- DimensionsEstimated
- Dimensions (mm)Estimated
- WeightEstimated
- CapabilitiesEstimated
- AvailabilitySourcePress
- MaturitySourcePress
- SpeedSourcePress
- NavigationSourcePress
- ConnectivitySourcePress
From rollout to recharge.
- 01
Teach by demonstration
Engineers walk the humanoid through the target task, recording motion and contact data.
- 02
Train task policy
Sensor traces feed a learned policy that generalizes the demonstrated behavior across the workspace.
- 03
Whole-body manipulation
The robot executes the task with full-body coordination — handling tools, totes, or load points autonomously.
- 04
Pilot loop & refine
Failures and exceptions feed back into training; the policy improves with each shift logged.
Picture this robot in your floor plan.
Upload a photo or floor plan of your venue and we'll show this robot at scale — so you can feel its footprint, sight lines, and clearance before deployment.
Scene preview · arriving in Phase 2
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