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 | $190 USD | $2,000 USD | $7,999 USD |
| Height | 16 cm | Not officially disclosed | 680mm (26.8 in); official dimensions list Height (Top-Bottom): 680mm |
| Weight | 300 g robot body; 720 g complete kit | 28.8 lbs (13.1 kg) | 28kg (61.7 lbs) |
| Battery Life | Approx. 20 minutes depending on usage mode | Up to 480 minutes in skimming mode; up to about 4 hours underwater according to PCWorld's review of Aiper's stated specs | Up to 25 hours standby |
| Charging Time | Approx. 20-30 minutes | 4.5 hours | 4 hours |
| Max Speed | Not officially disclosed | Not officially disclosed | 0.1-1m/s on flat surfaces; 0.5m/s on slopes |
| Degrees of Freedom | N/A | N/A | N/A |
| AI | Educational rule-based behavior stack with ultrasonic obstacle sensing, rhythm-following microphone interaction, balance/stability behavior, preset action programs, and MakeCode/Python programmability; no LLM or cloud assistant is officially disclosed. | VisionPath 2.0 navigation and Cognitive AI Navium Mode use camera-based debris recognition, real-time route adaptation, cleaning-history patterns, user behavior, and local weather context to plan pool maintenance. | 8-core Horizon Sunrise Series CPU with onboard autonomous navigation and perception stack |
| Sensors | Ultrasonic sensor, Gesture sensor, Microphone | Dual-camera Cognitive AI Vision, Ultrasonic sensor, Anti-fall sensors for shallow areas, 20+ debris and obstacle recognition | LiDAR, 13MP RGB camera (shooting), 2MP RGB camera (monitoring), RGBD depth camera, Ultrasonic sensor, Human infrared sensor, GPS, Beidou |
| Connectivity | Dedicated remote controller, Programmable micro:bit control, GPIO expansion, IIC expansion | Aiper mobile app, 2.4 GHz and 5 GHz Wi-Fi | Dual-band Wi-Fi 6, Bluetooth 5.2, 4G, USB-C (60-120W output), USB-A (18W output) |
| Voice Assistants | None | Amazon Alexa, Google Assistant | None |
| Status | Available | Available | Available |
| Category | Research | Cleaning | Home Assistants |
| Manufacturer | ELECFREAKS | Aiper | Zeroth Robotics |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | micro:bit PU Robot Kit | Scuba V3 Ultra | W1 |
|---|---|---|---|
| 360° mobile surveillance | — | — | ✓ |
| 6-DOF humanoid-style bionic movement | ✓ | — | — |
| 8,500 GPH dual-pump suction | — | ✓ | — |
| App mode switching, scheduling, status, and history | — | ✓ | — |
| App-based control | — | — | ✓ |
| Autonomous following | — | — | ✓ |
| Autonomous patrol | — | — | ✓ |
| Built-in chlorine tablet chamber | — | ✓ | — |
| Classroom robotics curriculum projects | ✓ | — | — |
| Cognitive AI Navium weekly scheduling | — | ✓ | — |
| Cordless robotic pool cleaning | — | ✓ | — |
| Drop-protection motion behavior | ✓ | — | — |
| Dual-brush scrubbing | — | ✓ | — |
| Dual-camera AI Patrol cleaning | — | ✓ | — |
| Face recognition | — | — | ✓ |
| Floor, wall, waterline, surface, and sun-shelf cleaning | — | ✓ | — |
| GPIO and IIC sensor expansion | ✓ | — | — |
| Gesture recognition | — | — | ✓ |
| Gesture-sensor interaction | ✓ | — | — |
| Item transport | — | — | ✓ |
| JellyFloat self-rescue and surface retrieval | — | ✓ | — |
| LEGO-compatible physical expansion | ✓ | — | — |
| MakeCode block programming | ✓ | — | — |
| Maze-style exploration lessons | ✓ | — | — |
| MicroMesh multi-layer filtration | — | ✓ | — |
| Natural language dialogue | — | — | ✓ |
| Outdoor terrain navigation | — | — | ✓ |
| Portable device charging | — | — | ✓ |
| Python text programming | ✓ | — | — |
| Random idle interactions | ✓ | — | — |
| Remote-control operation | ✓ | — | — |
| Rhythm-following dance interaction | ✓ | — | — |
| Robotic pool surface skimming | — | ✓ | — |
| Self-balancing head behavior | ✓ | — | — |
| Top-load 3.5L debris basket | — | ✓ | — |
| Ultrasonic obstacle avoidance | ✓ | — | — |
| VisionPath 2.0 adaptive navigation | — | ✓ | — |
| Walking, turning, dancing, and kicking actions | ✓ | — | — |
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.
