G1 vs Mirokai: Specs, Price & ROS Support Compared (2025)
Galbot (Galaxy General Robotics) vs Enchanted Tools — independent, side-by-side analysis.
Schnellurteil
G1 leads in more DOF, higher payload, longer runtime. Overall, G1 has an edge in 3 out of 3 compared categories.
G1
Galbot (Galaxy General Robotics)
Mirokai
Enchanted Tools
DNA-Overlay
G1 Mirokai
Spezifikationen
$87,000Preis~EUR 30,000 per unit; B2B rollout targeted to begin 2026
173 cmHöhe123 cm
85 kgGewicht28 kg
47FHG26
10 kgNutzlast1.5 kg
10hLaufzeit4h
—Geschwindigkeit—
JaTreppenNein
JaLiDARNein
NVIDIA AGX Orin (275 TOPS)RecheneinheitNVIDIA GPU
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
Mirokai
Cons
- Still in development, no commercial availability
- Unit price not publicly disclosed (quote-on-request or enterprise-only)
- Low rated payload (1.5 kg) — research or light-handling tasks only
- Closed software stack — no public SDK or ROS support
Frequently asked questions
How do G1 and Mirokai compare on price?
G1: $87,000. Mirokai: ~EUR 30,000 per unit; B2B rollout targeted to begin 2026. Only one of the two has a public unit price; the other publishes a range or enterprise-only terms.
Which has higher payload: G1 or Mirokai?
G1 rates a higher payload at 10 kg vs 1.5 kg. Payload ratings are vendor claims and do not always include a duty cycle — peak vs sustained payload can differ significantly.
Is G1 or Mirokai actually available to buy?
G1 is shipping to customers. Mirokai 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.
Does G1 or Mirokai use LiDAR?
G1 ships with LiDAR for depth sensing; Mirokai does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Zuletzt aktualisiert: 2025