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.
Capabilities
Capabilities
Capabilities
Capabilities
| Spec | ||||
|---|---|---|---|---|
| Price | $20,000 USD | N/A | ¥577,500 JPY | $2,899 USD |
| Height | 167cm | Not officially disclosed | 43cm | 494mm (19.45 in) |
| Weight | 30kg | Not officially disclosed | 4.6kg (LOVOT 3.0; 2.0 was 4.3kg) | Robot body 2.8kg (6.17 lbs) + mobility base 1.4kg (3.08 lbs) |
| Battery Life | ~4 hours | Not officially disclosed | 30-45 minutes active, then returns to nest | ~2 hours |
| Charging Time | Not disclosed | Not officially disclosed | 15-30 minutes (on charging nest) | 80% in 1 hour |
| Max Speed | ~4 mph | Not officially disclosed | 1-2 km/h | 0.05m/s (bipedal); 0.6m/s (wheeled) |
| AI | 1X Embodied Intelligence | Google Gemini + proprietary Samsung language models | GPU (1,024 cores) + 32 Tensor cores + 8 CPU cores, 512GB storage (LOVOT 3.0) | 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 |
| Sensors | RGB Cameras, Depth Sensors, Tactile Skin, Microphone Array | Camera, Spatial Sensors, Environmental Sensors | Horn Top Camera (half-sphere), Horn Front Camera, Depth Camera, Luminosity Sensor, Hygrometer-Thermometer, Posture Sensor, Distance Sensor, Obstacle Sensor, Touch Sensors (full body), Microphone Array (x4) | LDS LiDAR, iTOF depth sensor, Vision camera, IMU, 3-microphone circular array |
| Connectivity | Wi-Fi, Bluetooth | Wi-Fi, SmartThings | Wi-Fi, Bluetooth, NFC, Infrared Communication | |
| Voice Assistants | None | Bixby | None | None |
| Status | Pre-order | Development | Available | Pre-order |
| Category | Humanoid | Companions | Companions | Companions |
| Manufacturer | 1X Technologies | Samsung | GROOVE X | Zeroth Robotics |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | NEO | Ballie | LOVOT | M1 |
|---|---|---|---|---|
| 13 Degrees of Freedom | — | — | ✓ | — |
| Adaptive Behavior (Learns User Patterns) | — | ✓ | — | — |
| Adaptive Learning | ✓ | — | — | — |
| Auto-Charging (returns to nest) | — | — | ✓ | — |
| Autonomous Home Navigation | — | ✓ | — | — |
| Autonomous Navigation | — | — | ✓ | — |
| Autonomous following | — | — | — | ✓ |
| Bipedal and wheeled mobility | — | — | — | ✓ |
| Built-in Projector (Wall & Floor) | — | ✓ | — | — |
| Customizable Clothing/Appearance | — | — | ✓ | — |
| Daily reminders and assistance | — | — | — | ✓ |
| Developer programming and VR experimentation | — | — | — | ✓ |
| Emotional Companionship | — | — | ✓ | — |
| Gentle Manipulation | ✓ | — | — | — |
| Gentle fall detection | — | — | — | ✓ |
| Home companionship | — | — | — | ✓ |
| Household Chores | ✓ | — | — | — |
| Interactive learning for kids | — | — | — | ✓ |
| Mobile safety checks | — | — | — | ✓ |
| Music Playback | — | ✓ | — | — |
| OLED Eyes (organic EL displays, natural blinking) | — | — | ✓ | — |
| Person Recognition | — | — | ✓ | — |
| Personality Development Over Time | — | — | ✓ | — |
| Personalized Scheduling & Reminders | — | ✓ | — | — |
| Pet & Family Monitoring (Video Updates) | — | ✓ | — | — |
| Pet behavior monitoring | — | — | — | ✓ |
| Phone Call Handling | — | ✓ | — | — |
| Remote family interaction | — | — | — | ✓ |
| Room Mapping (360° camera) | — | — | ✓ | — |
| Safe Human Interaction | ✓ | — | — | — |
| Smart Home Control via SmartThings | — | ✓ | — | — |
| Thermal Person Detection | — | — | ✓ | — |
| Tidying Up | ✓ | — | — | — |
| Touch Response (full body sensors) | — | — | ✓ | — |
| Voice & Conversational Interaction | — | ✓ | — | — |
| Workout Video Projection | — | ✓ | — | — |
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.
Use a prebuilt pairing when blank-page friction is the problem. Open one, swap robots, and keep moving.
Price bracket check — N1 versus Bespoke AI Jet Bot Steam Ultra shows what the premium tier actually buys in navigation, maintenance, and smart-home polish.
Same-brand shortlist — MiPA versus 4NE-1 isolates whether the higher tier actually changes the ownership story.
Mobility platforms — Go2 versus Argos X1 is a fast way to compare payload, stability, and commercial ambition inside the quadruped category.
Home presence check — StackChan versus LOVOT reveals how much extra presence, hardware, and ecosystem you buy as companion robots move upmarket.
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 356 robots tracked, 223 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.
