H1-2 vs L7: Specs, Price & ROS Support Compared (2025)
Unitree Robotics vs RobotEra — independent, side-by-side analysis.
Veredicto rápido
H1-2 leads in higher payload, while L7 leads in more DOF, faster speed. Overall, L7 has an edge in 2 out of 3 compared categories.
H1-2
Unitree Robotics
L7
RobotEra
Superposición de huella DNA
H1-2 L7
Especificaciones
$99,900Precio~$60,000–$90,000
178 cmAltura171 cm
70 kgPeso65 kg
27GDL55
21 kgCarga20 kg
2hAutonomía—
2 m/sVelocidad4 m/s
SíEscalerasSí
SíLiDARNo
Intel i5 + Intel i7; optional NVIDIA Jetson Orin NXCómputo80 TOPS (x86) + 275 TOPS (NVIDIA Orin)
Pros and cons at a glance
H1-2
Pros
- Shipping to customers (verified commercial availability)
- Ships with LiDAR for robust depth sensing in low-light environments
Cons
- Short runtime (120 min) — frequent recharging or battery swaps
L7
Pros
- Shipping to customers (verified commercial availability)
- 55 degrees of freedom — full-body articulation
Cons
- 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 H1-2 and L7 compare on price?
H1-2: $99,900. L7: ~$60,000–$90,000. Only one of the two has a public unit price; the other publishes a range or enterprise-only terms.
Which has higher payload: H1-2 or L7?
H1-2 rates a higher payload at 21 kg vs 20 kg. Payload ratings are vendor claims and do not always include a duty cycle — peak vs sustained payload can differ significantly.
Are both H1-2 and L7 shipping to customers?
Yes. Both are commercially available as of the last review. Delivery timelines and customer geographies vary per vendor — check the manufacturer page for each.
Which is better for ROS-based development: H1-2 or L7?
H1-2 has ros2; L7 has no ROS support. For research and multi-vendor robotics stacks, native ROS 2 is the strongest signal of ecosystem maturity.
Does H1-2 or L7 use LiDAR?
H1-2 ships with LiDAR for depth sensing; L7 does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Última actualización: 2025