Reachy 2 vs T-HR3: Specs, Price & ROS Support Compared (2025)
Pollen Robotics (Hugging Face) vs Toyota — independent, side-by-side analysis.
Veredicto rápido
T-HR3 leads in more DOF. Overall, T-HR3 has an edge in 1 out of 1 compared categories.
Reachy 2
Pollen Robotics (Hugging Face)
T-HR3
Toyota
Superposición de huella DNA
Reachy 2 T-HR3
Especificaciones
~$70,000–$100,000PrecioResearch only
140 cmAltura151 cm
40 kgPeso75 kg
17GDL42
3 kgCarga—
—Autonomía—
—Velocidad—
NoEscalerasSí
SíLiDARNo
Solidrun Bedrock v3000CómputoProprietary
Apertura del ecosistema
91
Reachy 2
/100
—
T-HR3
Fully open-source HW+SW. ROS2. Hugging Face backing. Best-in-class openness.
Pros and cons at a glance
Reachy 2
Pros
- Shipping to customers (verified commercial availability)
- Ships with LiDAR for robust depth sensing in low-light environments
Cons
- Unit price not publicly disclosed (quote-on-request or enterprise-only)
- Low rated payload (3 kg) — research or light-handling tasks only
- Limited articulation (17 DOF)
- Cannot navigate stairs — restricts deployment environments
T-HR3
Pros
- 42 degrees of freedom — full-body articulation
Cons
- Still in development, no commercial availability
- Unit price not publicly disclosed (quote-on-request or enterprise-only)
- Closed software stack — no public SDK or ROS support
Frequently asked questions
How do Reachy 2 and T-HR3 compare on price?
Reachy 2: ~$70,000–$100,000. T-HR3: Research only.
Is Reachy 2 or T-HR3 actually available to buy?
Reachy 2 is shipping to customers. T-HR3 is in active development without commercial availability. Status reflects the vendor's published commercial position as of the last review and can change between announcement and actual delivery.
Which is better for ROS-based development: Reachy 2 or T-HR3?
Reachy 2 has ros2; T-HR3 has no ROS support. For research and multi-vendor robotics stacks, native ROS 2 is the strongest signal of ecosystem maturity.
Does Reachy 2 or T-HR3 use LiDAR?
Reachy 2 ships with LiDAR for depth sensing; T-HR3 does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Última actualización: 2025