Phoenix vs PM01: Specs, Price & ROS Support Compared (2024)
Sanctuary AI vs EngineAI Robotics — independent, side-by-side analysis.
Verdict rapide
Phoenix leads in more DOF, while PM01 leads in faster speed. The two robots are evenly matched, each excelling in different areas.
Phoenix
Sanctuary AI
PM01
EngineAI Robotics
Superposition ADN
Phoenix PM01
Caractéristiques
Contact (enterprise)Prix$13,700
170 cmTaille138 cm
70 kgPoids40 kg
41DDL23
25 kgCharge utile—
—Autonomie2h
0.83 m/sVitesse2 m/s
OuiEscaliersOui
NonLiDAROui
Carbon AI system (Microsoft Azure)CalculIntel N97 + NVIDIA Jetson Orin (dual compute)
Ouverture de l'écosystème
8
Phoenix
/100
45
PM01
Carbon AI fully proprietary. Microsoft Azure backend.
Linux + developer SDK. Dual compute for custom dev.
Pros and cons at a glance
Phoenix
Pros
- High rated payload (25 kg) for industrial pick-and-place
- 41 degrees of freedom — full-body articulation
Cons
- Still in development, no commercial availability
- Unit price not publicly disclosed (quote-on-request or enterprise-only)
- Closed software stack — no public SDK or ROS support
PM01
Pros
- Shipping to customers (verified commercial availability)
- Affordable at $13,700 — accessible to research labs and SMEs
- Ships with LiDAR for robust depth sensing in low-light environments
Cons
- Short runtime (120 min) — frequent recharging or battery swaps
- Closed software stack — no public SDK or ROS support
Frequently asked questions
How do Phoenix and PM01 compare on price?
Phoenix: Contact (enterprise). PM01: $13,700. Only one of the two has a public unit price; the other publishes a range or enterprise-only terms.
Is Phoenix or PM01 actually available to buy?
Phoenix is in active development without commercial availability. PM01 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 Phoenix or PM01 use LiDAR?
PM01 ships with LiDAR for depth sensing; Phoenix does not. LiDAR adds cost and complexity but improves obstacle detection in low-light or low-contrast environments.
Dernière mise à jour: 2024