G1 vs H2: Specs, Price & ROS Support Compared (2026)
Galbot (Galaxy General Robotics) vs Unitree Robotics — independent, side-by-side analysis.
Quick Verdict
G1 leads in more DOF, higher payload, longer runtime, while H2 leads in lower price. Overall, G1 has an edge in 3 out of 4 compared categories.
G1
Galbot (Galaxy General Robotics)
H2
Unitree Robotics
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G1 H2
Specifications
$87,000Price$29,900
173 cmHeight182 cm
85 kgWeight70 kg
47DOF31
10 kgPayload7 kg
10hRuntime3h
—Speed1.5 m/s
YesStairsYes
YesLiDARNo
NVIDIA AGX Orin (275 TOPS)ComputeIntel Core i5 / i7 + Jetson Thor (EDU)
Pros and cons at a glance
G1
Pros
- Shipping to customers (verified commercial availability)
- Long runtime (10h per charge) for full-shift operation
- Ships with LiDAR for robust depth sensing in low-light environments
- 47 degrees of freedom — full-body articulation
Cons
- Closed software stack — no public SDK or ROS support
H2
Pros
- Shipping to customers (verified commercial availability)
- 31 degrees of freedom — full-body articulation
Cons
- Low rated payload (7 kg) — research or light-handling tasks only
Frequently asked questions
Which is cheaper: G1 or H2?
H2 is cheaper at $29,900 vs $87,000 for G1. Note that lower price does not imply lower total cost of ownership — see the TCO calculator on the Explore page for utilisation-adjusted figures.
Which has higher payload: G1 or H2?
G1 rates a higher payload at 10 kg vs 7 kg. Payload ratings are vendor claims and do not always include a duty cycle — peak vs sustained payload can differ significantly.
Are both G1 and H2 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: G1 or H2?
G1 has no ROS support; H2 has ros2. For research and multi-vendor robotics stacks, native ROS 2 is the strongest signal of ecosystem maturity.
Does G1 or H2 use LiDAR?
G1 ships with LiDAR for depth sensing; H2 does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Last updated: 2026