H1-2 vs Walker S2: Specs, Price & ROS Support Compared (2025)
Unitree Robotics vs UBTECH Robotics — independent, side-by-side analysis.
Verdict rapide
H1-2 leads in higher payload, while Walker S2 leads in more DOF, lower price. Overall, Walker S2 has an edge in 2 out of 3 compared categories.
H1-2
Unitree Robotics
Walker S2
UBTECH Robotics
Superposition ADN
H1-2 Walker S2
Caractéristiques
$99,900Prix$90,000
178 cmTaille176 cm
70 kgPoids73 kg
27DDL52
21 kgCharge utile15 kg
2hAutonomie—
2 m/sVitesse2 m/s
OuiEscaliersOui
OuiLiDARNon
Intel i5 + Intel i7; optional NVIDIA Jetson Orin NXCalculN/A
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
Walker S2
Pros
- Shipping to customers (verified commercial availability)
- 52 degrees of freedom — full-body articulation
Cons
- Closed software stack — no public SDK or ROS support
Frequently asked questions
Which is cheaper: H1-2 or Walker S2?
Walker S2 is cheaper at $90,000 vs $99,900 for H1-2. 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: H1-2 or Walker S2?
H1-2 rates a higher payload at 21 kg vs 15 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 Walker S2 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 Walker S2?
H1-2 has ros2; Walker S2 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 Walker S2 use LiDAR?
H1-2 ships with LiDAR for depth sensing; Walker S2 does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Dernière mise à jour: 2025
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