AGIBOT Innovation (Shanghai) Technology Co., Ltd. AgiBot A2vsHumanoid HMND 01
Side-by-side comparison of AGIBOT Innovation (Shanghai) Technology Co., Ltd. AgiBot A2 and Humanoid HMND 01: specs, price, use cases and SDKs.

AgiBot A2
A versatile humanoid robot for service, logistics, and light industrial automation.

HMND 01
Industrial HMND 01 humanoid tested for factory logistics with Siemens.
Specifications
| Spec | AgiBot A2 | HMND 01 |
|---|---|---|
| Price (USD) | $100,000 | $0 |
| Category | humanoid | humanoid |
| Payload | 15 kg | — |
| Runtime | 2 h | — |
| Speed | 1.2 m/s | 1.5 m/s |
| Weight | 69 kg | — |
| Degrees of Freedom | 40 | — |
| Battery | 700 Wh | — |
- Customer service
- Reception
- Exhibition presentations
- Marketing
- Manufacturing assistance
- Logistics sorting
- Security patrols
- Data collection
- Research applications
- Autonomous manipulation and pick-and-place
- Industrial assembly and quality inspection
- Autonomous indoor navigation
- Material movement
- Workpiece loading
- Pallet transport
- Vibratory feeder loading
- Retail brand activation
- Research and education
- Entertainment and broadcast media
- Factory tote handling
- Goods handling
- Picking and packing
- Kitting and part handling
- Machine feeding and offbearing
When to pick which
Choose the AGIBOT AgiBot A2 for customer-facing service roles or research environments where high dexterity and human-like interaction are required. With 40 degrees of freedom and a 15kg payload capacity, it excels in retail brand activation, reception, and complex assembly tasks that demand fine motor control. Research institutions and media companies should prioritize this model for its extensive SDK support, including Genie Sim 3.0 and the Linksoul Platform, which facilitate custom behavioral programming. Its $100,000 price point provides a clear entry cost for pilot programs in exhibition centers or laboratories needing a versatile, multi-purpose platform.
Select the Humanoid HMND 01 for high-volume industrial logistics and factory floor integration, particularly within the Siemens ecosystem. Its omnidirectional wheeled Alpha configuration and 1.5 m/s speed are optimized for rapid material movement and tote handling rather than static interaction. Buyers in manufacturing should choose this for kitting and machine feeding tasks where throughput is critical, as evidenced by its 60 tote moves per hour and 90% pick-and-place success rate. The integration with NVIDIA’s Isaac Sim and Jetson Thor AI stack makes it the superior choice for large-scale deployments requiring robust simulation-to-reality workflows and 8-hour tested uptimes.
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