EVE vs G1: Specs, Price & ROS Support Compared (2025)
1X Technologies vs Galbot (Galaxy General Robotics) — independent, side-by-side analysis.
Schnellurteil
EVE leads in higher payload, while G1 leads in longer runtime. The two robots are evenly matched, each excelling in different areas.
EVE
1X Technologies
G1
Galbot (Galaxy General Robotics)
DNA-Overlay
EVE G1
Spezifikationen
No longer marketed; existing enterprise deployments maintained, not expandedPreis$87,000
186 cmHöhe173 cm
86 kgGewicht85 kg
—FHG47
15 kgNutzlast10 kg
6hLaufzeit10h
4 m/sGeschwindigkeit—
NeinTreppenJa
NeinLiDARJa
N/ARecheneinheitNVIDIA AGX Orin (275 TOPS)
Pros and cons at a glance
EVE
Pros
- Long runtime (6h per charge) for full-shift operation
Cons
- Discontinued by the manufacturer
- Unit price not publicly disclosed (quote-on-request or enterprise-only)
- Closed software stack — no public SDK or ROS support
- Cannot navigate stairs — restricts deployment environments
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
Frequently asked questions
How do EVE and G1 compare on price?
EVE: No longer marketed; existing enterprise deployments maintained, not expanded. G1: $87,000. Only one of the two has a public unit price; the other publishes a range or enterprise-only terms.
Which has higher payload: EVE or G1?
EVE rates a higher payload at 15 kg vs 10 kg. Payload ratings are vendor claims and do not always include a duty cycle — peak vs sustained payload can differ significantly.
Is EVE or G1 actually available to buy?
EVE has been discontinued. G1 is shipping to customers. Status reflects the vendor's published commercial position as of the last review and can change between announcement and actual delivery.
Does EVE or G1 use LiDAR?
G1 ships with LiDAR for depth sensing; EVE does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Zuletzt aktualisiert: 2025