G1 vs NAO V6: Specs, Price & ROS Support Compared (2025)
Galbot (Galaxy General Robotics) vs Aldebaran (Maxvision) — independent, side-by-side analysis.
クイック判定
G1 leads in more DOF, longer runtime, while NAO V6 leads in lower price. Overall, G1 has an edge in 2 out of 3 compared categories.
G1
Galbot (Galaxy General Robotics)
NAO V6
Aldebaran (Maxvision)
DNAフィンガープリント比較
G1 NAO V6
スペック
$87,000価格$16,990
173 cm身長58 cm
85 kg重量5.6 kg
47自由度25
10 kg搭載量—
10h駆動時間1h
—速度0.5 m/s
対応階段昇降非対応
対応LiDAR非対応
NVIDIA AGX Orin (275 TOPS)コンピュータIntel Atom (upgraded in V6)
エコシステム開放度
—
G1
/100
70
NAO V6
NAOqi + Choregraphe. Massive academic community. Future uncertain post-bankruptcy.
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
NAO V6
Pros
- Shipping to customers (verified commercial availability)
- Affordable at $16,990 — accessible to research labs and SMEs
Cons
- Short runtime (75 min) — frequent recharging or battery swaps
- Cannot navigate stairs — restricts deployment environments
Frequently asked questions
Which is cheaper: G1 or NAO V6?
NAO V6 is cheaper at $16,990 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.
Are both G1 and NAO V6 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 NAO V6?
G1 has no ROS support; NAO V6 has ROS 1 only. For research and multi-vendor robotics stacks, native ROS 2 is the strongest signal of ecosystem maturity.
Does G1 or NAO V6 use LiDAR?
G1 ships with LiDAR for depth sensing; NAO V6 does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
最終更新: 2025