H1-2 vs Walker S: Specs, Price & ROS Support Compared (2024)
Unitree Robotics vs UBTECH Robotics — independent, side-by-side analysis.
Verdict rapide
H1-2 leads in higher payload, faster speed, while Walker S leads in more DOF. Overall, H1-2 has an edge in 2 out of 3 compared categories.
H1-2
Unitree Robotics
Walker S
UBTECH Robotics
Superposition ADN
H1-2 Walker S
Caractéristiques
$99,900PrixContact
178 cmTaille170 cm
70 kgPoids48 kg
27DDL41
21 kgCharge utile15 kg
2hAutonomie—
2 m/sVitesse1.5 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 S
Pros
- Shipping to customers (verified commercial availability)
- 41 degrees of freedom — full-body articulation
Cons
- Unit price not publicly disclosed (quote-on-request or enterprise-only)
- Closed software stack — no public SDK or ROS support
Frequently asked questions
How do H1-2 and Walker S compare on price?
H1-2: $99,900. Walker S: Contact. Only one of the two has a public unit price; the other publishes a range or enterprise-only terms.
Which has higher payload: H1-2 or Walker S?
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 S 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 S?
H1-2 has ros2; Walker S 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 S use LiDAR?
H1-2 ships with LiDAR for depth sensing; Walker S does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Dernière mise à jour: 2024