Comparison controls
Swap robots without losing the table. Green cells mark numeric leaders; text rows show the tradeoffs that need judgment.
Green cells flag numeric leaders, while AI, sensors, and capability rows keep the real buying tradeoffs visible.
Price
Weight
Battery Life
Max Speed
AI
Sensors
Connectivity
Status
Category
Capabilities
| Spec | |||
|---|---|---|---|
| Price | ¥198,000 CNY | N/A | N/A |
| Height | 169cm | 174cm | 1225-1700 mm depending on configuration; selected models list adjustable or variant heights |
| Weight | 69kg | 60kg | 88.5 kg for the industrial-dexterity configuration; 185 kg for the perception-and-compute configuration; Faber S weight not publicly disclosed |
| Battery Life | 2 hours (700 Wh swappable battery) | Up to 8 hours combined operating time | >2 hours on 720 Wh configuration; >4 hours on 1652 Wh configuration |
| Charging Time | Charging supported via standby station; exact charging time not officially disclosedNot safely comparable as a typed unit | Direct charging, battery replacement, and autonomous charging supported; exact charge time not officially disclosedNot safely comparable as a typed unit | Not officially disclosed |
| Max Speed | Not officially disclosed | Not officially disclosed | Up to 1.5 m/s on the omnidirectional mobility configuration |
| Degrees of Freedom | N/A | 51 active DOF | 26-35 DOF depending on configuration |
| AI | LLM/RAG full-duplex interaction stack with edge deployment, facial recognition, lip-reading, ActionGPT motion generation, HIMUS 3D-SLAM, VectorFlux planning/control, and RTMOF motion control. | NVIDIA Thor for high-level embodied-AI processing | VLA + World Model EAI brain; public specs list 200 TOPS, 275 TOPS, and 500-2070 TOPS compute configurations |
| Sensors | LiDAR, RGB-D Cameras, Fisheye Cameras, Six high-definition panoramic cameras, Microphone, Speaker, Force/Torque Sensors, Interactive Screen | 3D LiDAR, RGB-D Cameras, Fisheye Cameras, Binocular Vision, GPS, RTK Positioning, UWB Positioning | Dual 3D LiDAR (Faber U), RGB-D cameras, Fisheye cameras, Stereo cameras, Multi-camera sensing system |
| Connectivity | Remote control, Smartphone control, Computer control | Not officially disclosed | FF EAI robotics platform, Customer-specific industrial integrations |
| Voice Assistants | None | None | None |
| Status | Available | Active | Available |
| Category | Humanoid | Humanoid | Commercial |
| Manufacturer | AGIBOT | AGIBOT | Faraday Future |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | A2 | A3 Ultra | FF Faber |
|---|---|---|---|
| 360° Semantic Perception | ✓ | — | — |
| 3D SLAM Navigation | ✓ | — | — |
| 5 kg Per-Arm Payload Handling | — | ✓ | — |
| Autonomous Charging | — | ✓ | — |
| Autonomous Mobile Manipulation | — | — | ✓ |
| Battery Replacement | — | ✓ | — |
| Bipedal Humanoid Mobility | — | ✓ | — |
| Business Consultation | ✓ | — | — |
| Calligraphy and Dance Demonstrations | ✓ | — | — |
| Commercial and Service Environment Deployment | — | ✓ | — |
| Custom Industrial Skills | — | — | ✓ |
| Dexterous Hand Interaction | ✓ | — | — |
| Dexterous Manipulation | — | — | ✓ |
| Direct Charging | — | ✓ | — |
| Dual-Arm Coordination | — | — | ✓ |
| Enterprise Knowledge-Base Q&A | ✓ | — | — |
| Exhibition and Guided Presentations | ✓ | — | — |
| Facial Recognition and Lip-Reading | ✓ | — | — |
| Front-Desk Reception | ✓ | — | — |
| Full-Duplex Voice Dialogue | ✓ | — | — |
| Full-Size Humanoid Operation | — | ✓ | — |
| GPS/RTK/UWB Positioning | — | ✓ | — |
| Humanoid Human-Robot Interaction | ✓ | — | — |
| Indoor Inspection | — | — | ✓ |
| Industrial Loading and Unloading | — | — | ✓ |
| Intelligent Obstacle Avoidance | ✓ | — | — |
| L4-Level Autonomous Mobility (manufacturer claim) | ✓ | — | — |
| Logistics Transfer | — | — | ✓ |
| Long-Duration Public-Facing Service Workflows | — | ✓ | — |
| Marketing and Customer Service | ✓ | — | — |
| Material Handling | — | — | ✓ |
| Multimodal Perception | — | ✓ | — |
| Natural Motion Generation from Voice Intent | ✓ | — | — |
| Navigation and Coordinated Operation | — | ✓ | — |
| Omnidirectional Mobility | — | — | ✓ |
| Precision Force Control | — | — | ✓ |
| Quick Battery Replacement | ✓ | — | — |
| Research and Education | — | — | ✓ |
| Sorting and Retail Operations | — | — | ✓ |
| Sound-Source Localization | ✓ | — | — |
Use this flow to get to a clean shortlist fast. The route works best as a dense research workbench, not a marketing page.
Start with robots that solve the same job. Use category anchors like Humanoid, Cleaning, Companions, Research before you worry about micro-spec wins.
Check price, status, battery, sensors, and capabilities before getting lost in minor spec rows.
Once you have a shortlist, hide shared rows. That turns the table from a spec dump into a real decision tool.
A dedicated cleaner versus a home assistant with cleaning features can reveal whether you really need a specialist or just broader household coverage. Compare around the same outcome, not the same marketing language. And when blank-page friction is the problem, use one of the prebuilt quick-start pairings in the workbench above — open one, swap robots, and keep moving.
Turn comparison rows into an actual recommendation — not just more reading.
Not all spec deltas matter equally. Rank your buying criteria before crowning a winner.
The sticker price is only one row. Subscriptions, consumables, and service access often decide the real winner.
Subscriptions
Cloud AI and premium app tiers can make a cheaper robot more expensive over three years.
Consumables
Brushes, pads, filters, and bags flip the value story on high-frequency robots.
Energy & battery
Large batteries and frequent charging reveal everyday operating demands.
Repair & warranty
Local servicing and spare-parts access are the quietest but most important long-term costs.
Specs describe ideal conditions. Your rooms, pets, and Wi-Fi determine what actually performs.
Of 412 robots tracked, 254 are available now. For household tasks, getting a capable robot into daily use today usually beats waiting for incremental improvements. For research or early-adopter use, waiting can make sense if the next model changes the platform story.
If two robots are still neck-and-neck, use softer signals that affect ownership quality more than spec sheets admit.
Comparison FAQ
Short answers to the questions that usually show up once the shortlist is live and the tradeoffs feel real.
