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 | $2,499 USD | $7,999 USD | $4,900 USD | $20,000 USD |
| Height | 494mm (19.45 in) | 680mm (26.8 in); official dimensions list Height (Top-Bottom): 680mm | 123cm (standing) | 167cm |
| Weight | Robot body 2.8kg (6.17 lbs) + mobility base 1.4kg (3.08 lbs) | 28kg (61.7 lbs) | ~29kg (with battery; ~27kg for Air model) | 30kg |
| Battery Life | ~2 hours | Up to 25 hours standby | ~1 hour (mixed activity) | ~4 hours |
| Charging Time | 80% in 1 hour | 4 hours | Not officially disclosed | Not disclosed |
| Max Speed | 0.05m/s (bipedal); 0.6m/s (wheeled) | 0.1-1m/s on flat surfaces; 0.5m/s on slopes | Not officially disclosed | Max run speed 6.2 m/s; walking speed 1.4 m/s |
| Degrees of Freedom | N/A | N/A | N/A | N/A |
| AI | Embodied-intelligence platform with whole-home mapping, visual recognition and obstacle avoidance, posture/motion tracking, multilingual conversational interaction, and support for open programming, VR integration, and reinforcement-learning tools | 8-core Horizon Sunrise Series CPU with onboard autonomous navigation and perception stack | 8-core CPU + GPU; optional NVIDIA Jetson Orin (40–100 TOPS, EDU only); UnifoLM multimodal LLM | 1X Embodied Intelligence |
| Sensors | LDS LiDAR, iTOF depth sensor, Vision camera, IMU, 3-microphone circular array | LiDAR, 13MP RGB camera (shooting), 2MP RGB camera (monitoring), RGBD depth camera, Ultrasonic sensor, Human infrared sensor, GPS, Beidou | Monocular camera (R1 Air); binocular camera (R1/R1 EDU), 4-Mic Array, Dual 6-Axis IMU | RGB Cameras, Depth Sensors, Tactile Skin, Microphone Array |
| Connectivity | Dual-band Wi-Fi 6, Bluetooth 5.2, 4G, USB-C (60-120W output), USB-A (18W output) | Wi-Fi 6, Bluetooth 5.2 | Wi-Fi, Bluetooth, 5G | |
| Voice Assistants | None | None | UnifoLM (voice + image commands) | None |
| Status | Available | Available | Pre-order | Pre-order |
| Category | Companions | Home Assistants | Humanoid | Humanoid |
| Manufacturer | Zeroth Robotics | Zeroth Robotics | Unitree Robotics | 1X Technologies |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | M1 | W1 | R1 | NEO |
|---|---|---|---|---|
| 26 Degrees of Freedom (standard) | — | — | ✓ | — |
| 360° mobile surveillance | — | ✓ | — | — |
| Adaptive Learning | — | — | — | ✓ |
| App-based control | — | ✓ | — | — |
| Autonomous following | ✓ | ✓ | — | — |
| Autonomous patrol | — | ✓ | — | — |
| Bipedal Walking & Running | — | — | ✓ | — |
| Bipedal and wheeled mobility | ✓ | — | — | — |
| Cartwheels & Handstands | — | — | ✓ | — |
| Customizable Shell/Finish | — | — | ✓ | — |
| Daily reminders and assistance | ✓ | — | — | — |
| Developer programming and VR experimentation | ✓ | — | — | — |
| Face recognition | — | ✓ | — | — |
| Gentle Manipulation | — | — | — | ✓ |
| Gentle fall detection | ✓ | — | — | — |
| Gesture Recognition | — | — | ✓ | — |
| Gesture recognition | — | ✓ | — | — |
| Home companionship | ✓ | — | — | — |
| Household Chores | — | — | — | ✓ |
| Interactive learning for kids | ✓ | — | — | — |
| Item transport | — | ✓ | — | — |
| Mobile safety checks | ✓ | — | — | — |
| Natural language dialogue | — | ✓ | — | — |
| OTA Software Updates | — | — | ✓ | — |
| Optional Dexterous Hands (EDU) | — | — | ✓ | — |
| Outdoor terrain navigation | — | ✓ | — | — |
| Pet behavior monitoring | ✓ | — | — | — |
| Portable device charging | — | ✓ | — | — |
| Push Recovery | — | — | ✓ | — |
| ROS 2 Support | — | — | ✓ | — |
| Remote family interaction | ✓ | — | — | — |
| Safe Human Interaction | — | — | — | ✓ |
| Secondary Development (EDU) | — | — | ✓ | — |
| Tidying Up | — | — | — | ✓ |
| Voice & Image Interaction (UnifoLM) | — | — | ✓ | — |
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 410 robots tracked, 252 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.
