- Price $20,000 USD
- Weight 30kg
- Battery Life ~4 hours
- Max Speed ~4 mph
- AI 1X Embodied Intelligence
- Sensors RGB Cameras, Depth Sensors, Tactile Skin, Microphone Array
- Connectivity Wi-Fi, Bluetooth
- Status Pre-order
- Category Humanoid
Capabilities
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 | $24,950 USD | $7,999 USD | N/A |
| Height | 167cm | 141cm | 76–170cm (2'6"–5'7", adjustable) | 1300 mm (1.3 m) |
| Weight | 30kg | 24.5kg | Not disclosed | 34 kg |
| Battery Life | ~4 hours | 2–5 hours | Mains powered (600W, 120V)Not comparable for this robot | Not officially disclosed (46.8 V, 9000 mAh battery)Not safely comparable as a typed unit |
| Charging Time | Not disclosed | Not disclosed | N/A (plugged in)Not comparable for this robot | Not disclosed |
| Max Speed | ~4 mph | Not disclosed | StationaryNot comparable for this robot | Not disclosed |
| AI | 1X Embodied Intelligence | Open-source autonomy stack (ROS 2 + Python SDK) | Weave AI (weekly model updates, learning from corrections) | 6 TOPS NPU (int4/int8/int16/FP16/BF16/TF32), Cortex-A76×4 + Cortex-A55×4 CPU, Mali-G610 GPU; NVIDIA Isaac Sim for RL training, imitation learning via leader-follower system |
| Sensors | RGB Cameras, Depth Sensors, Tactile Skin, Microphone Array | Intel D405 RGBD Camera (gripper), Intel D435if RGBD Camera (head), Wide-Angle RGB Camera (head), Navigation Laser (LiDAR), Microphone Array, High Accuracy Base IMU, ArUco Fingertip Markers | Vision System, Proprioceptive Sensors | IMU (inferred from locomotion capability) |
| Connectivity | Wi-Fi, Bluetooth | Wi-Fi, Ethernet, USB | Wi-Fi 2.4GHz/5GHz, Ethernet | Wi-Fi 5, Bluetooth 5.0, Ethernet (2×), USB 2.0 (2× USB-A), USB 3.0 (1× USB-C, 1× USB-A) |
| Voice Assistants | None | None | None | None |
| Status | Pre-order | Active | Available | Development |
| Category | Humanoid | Home Assistants | Home Assistants | Research |
| Manufacturer | 1X Technologies | Hello Robot | Weave Robotics | ROBOTIS |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | NEO | Stretch 3 | Isaac 0 | AI Sapiens K0 |
|---|---|---|---|---|
| 10 DOF Total (7 arm + 1 gripper + 2 head) | — | ✓ | — | — |
| 20 Degrees of Freedom | — | — | ✓ | — |
| 2kg Payload | — | ✓ | — | — |
| Adaptive Learning | ✓ | — | — | — |
| Assistive Care | — | ✓ | — | — |
| Autonomous Navigation | — | ✓ | — | — |
| Autonomous Operation (30-90 min/load) | — | — | ✓ | — |
| Bipedal locomotion research | — | — | — | ✓ |
| Compliant manipulation and torque control | — | — | — | ✓ |
| Continuous Learning | — | — | ✓ | — |
| Customizable exterior (3D-printable covers and costume options) | — | — | — | ✓ |
| Dexterous Teleop Kit (accessory) | — | ✓ | — | — |
| Dynamic balancing with QDD actuators | — | — | — | ✓ |
| Embodied AI Research Platform | — | ✓ | — | — |
| Floor-to-Cabinet Reach | — | ✓ | — | — |
| Fully open-source hardware and software stack | — | — | — | ✓ |
| Gentle Manipulation | ✓ | — | — | — |
| Household Chores | ✓ | — | — | — |
| Imitation learning via leader-follower data collection | — | — | — | ✓ |
| Laundry Folding | — | — | ✓ | — |
| Mobile Manipulation | — | ✓ | — | — |
| Open Source Software | — | ✓ | — | — |
| Pants and Towels | — | — | ✓ | — |
| Reinforcement learning training in NVIDIA Isaac Sim | — | — | — | ✓ |
| Remote Teleoperation Assist | — | — | ✓ | — |
| Safe Human Interaction | ✓ | — | — | — |
| T-shirts, Long Sleeves, Sweaters | — | — | ✓ | — |
| Teleoperation (Web / Gamepad / Dexterous) | — | ✓ | — | — |
| Tidying Up | ✓ | — | — | — |
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, Lawn & Garden 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 — Roomba Mini versus AquaSense X shows what the premium tier actually buys in navigation, maintenance, and smart-home polish.
Same-brand shortlist — 4NE-1 Mini versus 4NE-1 isolates whether the higher tier actually changes the ownership story.
Mobility platforms — CyberDog 2 versus D1 Pro is a fast way to compare payload, stability, and commercial ambition inside the quadruped category.
Home presence check — Miko Mini 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 227 robots tracked, 153 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.