Humanoid HMND 01vsTesla Optimus Gen 2
Side-by-side comparison of Humanoid HMND 01 and Tesla Optimus Gen 2: specs, price, use cases and SDKs.

HMND 01
Industrial HMND 01 humanoid tested for factory logistics with Siemens.

Optimus Gen 2
General-purpose humanoid from Tesla
Specifications
| Spec | HMND 01 | Optimus Gen 2 |
|---|---|---|
| Price (USD) | $0 | $30,000 |
| Category | humanoid | humanoid |
| Runtime | — | 8 h |
| Speed | 1.5 m/s | 2.5 m/s |
| Weight | — | 57 kg |
| Degrees of Freedom | — | 28 |
- Factory tote handling
- Goods handling
- Picking and packing
- Kitting and part handling
- Machine feeding and offbearing
- Factory automation
- Home assistance
- Logistics
When to pick which
Choose the Humanoid HMND 01 for high-volume electronics manufacturing or brownfield factory logistics where throughput consistency is critical. Its omnidirectional wheeled Alpha configuration offers superior stability for heavy tote handling and kitting tasks, achieving a throughput of 60 moves per hour with a 90% success rate. The deep integration with the NVIDIA Jetson Thor and Isaac Sim stack makes it the preferred choice for facilities already utilizing Siemens-based automation workflows. This robot excels in structured environments where the 8-hour tested uptime and validated industrial AI stack provide a more predictable ROI than experimental bipedal platforms.
Select the Tesla Optimus Gen 2 for versatile logistics or pilot programs in multi-use environments that require human-like mobility. Its bipedal design and 2.5 m/s travel speed provide a significant advantage in navigating facilities with stairs or narrow, uneven pathways where wheeled bases fail. At a $30,000 price point, it serves as an accessible entry point for R&D teams focusing on general-purpose automation or home assistance. While it offers 28 degrees of freedom for complex manipulation, limited public spec data regarding specific industrial success rates exists—request a vendor briefing to confirm performance in high-precision kitting or machine feeding scenarios.
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