Apptronik ApollovsHumanoid HMND 01
Side-by-side comparison of Apptronik Apollo and Humanoid HMND 01: specs, price, use cases and SDKs.

Apollo
General-purpose humanoid for logistics

HMND 01
Industrial HMND 01 humanoid tested for factory logistics with Siemens.
Specifications
| Spec | Apollo | HMND 01 |
|---|---|---|
| Price (USD) | $120,000 | $0 |
| Category | humanoid | humanoid |
| Payload | 25 kg | — |
| Runtime | 4 h | — |
| Speed | — | 1.5 m/s |
| Weight | 73 kg | — |
- Logistics
- Manufacturing
- Warehousing
- Factory tote handling
- Goods handling
- Picking and packing
- Kitting and part handling
- Machine feeding and offbearing
When to pick which
Choose the Apptronik Apollo for brownfield manufacturing facilities requiring heavy-duty material handling in spaces designed for human bipedal movement. With a substantial 25kg payload capacity, Apollo is better suited for moving heavier sub-assemblies or bulkier inventory than lighter-duty alternatives. Organizations with established robotics engineering teams will benefit from its ROS2 compatibility, allowing for direct integration into existing fleet management systems. This robot is the preferred choice for logistics scenarios where lifting capacity and standard software architecture are prioritized over continuous runtime, particularly when navigating narrow or obstructed warehouse aisles that require a humanoid footprint.
Select the Humanoid HMND 01 for high-throughput factory environments, such as electronics kitting or machine feeding, where operational endurance and AI-driven precision are the primary constraints. Its 8-hour tested uptime and 1.5 m/s omnidirectional wheeled mobility make it superior for continuous, high-speed floor operations on flat surfaces compared to bipedal models. Buyers leveraging the NVIDIA ecosystem will find the integration of Jetson Thor and GR00T N1.6 critical for rapid deployment and complex task refinement. Choose this model for large-scale industrial facilities where 90% pick-and-place success rates and high-volume tote handling are the core performance metrics.
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