Apollo
Among the most commercially mature humanoid robots available in 2026, with real factory deployments, but walking speed and fine manipulation remain bottlenecks.
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Directional estimate based on price, labor offset, and readiness scores.
$50K - $80K
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, Apollo 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 management
- 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.
Apollo is the rare humanoid showing production maturity: live pilots at tier-1 manufacturers, $5.5B valuation, NVIDIA AI integration, and custom actuators engineered for cost and reliability. The roadmap is credible (logistics first, then broader applications), but autonomous operation and walking speed need proof in unstructured environments before the $50K–$80K price tag becomes an obvious bargain.
Opens Apptronik'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.
- Warehouse and logistics box/tote picking and transport (primary focus; proven in GXO trials).
- Manufacturing assembly-line material handling and component delivery alongside human workers (Mercedes-Benz partnership validates this).
- Inventory inspection and barcode scanning in distribution centers (combines mobility and simple perception).
When to skip it.
- Walking speed at 3.4 km/h is slower than a brisk human walk (~5–6 km/h); for large warehouse environments, this could impact throughput.
- Fine manipulation is limited; Apollo currently excels at gross manipulation (picking up boxes) but more intricate tasks requiring finger-level dexterity are not yet demonstrated at production quality.
- CES 2025 demo was teleoperated; full autonomous operation in dynamic, unstructured environments remains a work in progress.
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.
Data compiled from Apptronik official product pages (apptronik.com), recent funding announcements (CNBC February 2026, Robozaps March 2026), IEEE Spectrum coverage (August 2023, September 2023, November 2024), The Robot Report (September 2023, June 2024), and third-party robot specification aggregators (QVIRO, humanoid.guide, humanoidspecs.com). Funding and valuation figures reflect Series A extension announced February 2026 ($520M at $5.5B valuation). Spec consistency across sources is high; walking speed and autonomy maturity remain areas where sources diverge slightly, likely reflecting evolution from CES 2025 demo to current field trial status.
- Deployment readinessInferred
- ROI clarityInferred
- Labor replacement potentialInferred
- Environment fitInferred
- Maintenance riskInferred
- Future potentialInferred
- Lease rangeEstimated
- MaturityEstimated
- DimensionsEstimated
- Dimensions (mm)Estimated
- CapabilitiesEstimated
- Price rangeSourcePress
- AvailabilitySourcePress
- PayloadSourcePress
- Battery lifeSourcePress
- SpeedSourcePress
- WeightSourcePress
- 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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