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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.

Specifications

SpecAgiBot A2HMND 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
Shared use cases
No shared use cases
Only on AgiBot A2
  • 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
Only on HMND 01
  • Factory tote handling
  • Goods handling
  • Picking and packing
  • Kitting and part handling
  • Machine feeding and offbearing

When to pick which

When to pick AgiBot A2

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.

When to pick HMND 01

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.

AI-generated buyer guidance based on public specs.

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