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 | N/A | N/A | N/A |
| Height | 210 cm maximum height | Not publicly disclosedNot safely comparable as a typed unit | Not publicly disclosedNot safely comparable as a typed unit |
| Weight | Not publicly disclosedNot safely comparable as a typed unit | Not publicly disclosedNot safely comparable as a typed unit | Not publicly disclosedNot safely comparable as a typed unit |
| Battery Life | 8 hours per battery pack | 3-6 hours, depending on use and operator setup | Not publicly disclosedNot safely comparable as a typed unit |
| Charging Time | Not publicly disclosedNot safely comparable as a typed unit | Roughly 1 hour per battery | Not publicly disclosedNot safely comparable as a typed unit |
| Max Speed | Not publicly disclosedNot safely comparable as a typed unit | Not publicly disclosedNot safely comparable as a typed unit | Not publicly disclosedNot safely comparable as a typed unit |
| AI | RoboForce Physical AI / robot foundation models for industrial deployment, trained with proprietary real-world industrial data plus simulation/world-model data; official March 2026 update says the stack uses NVIDIA Jetson Thor at the edge, Isaac Sim/Lab, Cosmos, and OSMO. | Lucid OS autonomy with Click-and-Clean job templates, saved/repeatable routes, NVIDIA edge compute, advanced vision, mapping intelligence, and zone-based safety controls. | Ti0 vision-language-action model trained on Data Factory 1 fleet data; Tutor uses remote VR proprioceptive teleoperation, human feedback, and iterative policy retraining to improve Sonny's manipulation skills. |
| Sensors | Perception system details not publicly disclosed | Multi-sensor vision system, Advanced mapping sensors (exact sensor suite not publicly disclosed) | Sensor stack not publicly detailed |
| Connectivity | Connectivity details not publicly disclosed | Connectivity details not publicly disclosed | Connectivity details not publicly disclosed |
| Voice Assistants | None | None | None |
| Status | Active | Pre-order | Development |
| Category | Commercial | Commercial | Humanoid |
| Manufacturer | RoboForce | Lucid Bots | Tutor Intelligence |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | Titan | Lavo AI | Sonny |
|---|---|---|---|
| 1100mm arm reach | ✓ | — | — |
| Advanced Mapping | — | ✓ | — |
| Autonomous Exterior Surface Cleaning | — | ✓ | — |
| Autonomous Pressure Washing | — | ✓ | — |
| Autonomous operation in complex industrial environments | ✓ | — | — |
| Click-and-Clean Job Setup | — | ✓ | — |
| Commercial and Industrial Site Cleaning | — | ✓ | — |
| Crew-Multiplier Operation for Cleaning Businesses | — | ✓ | — |
| Dexterous Bimanual Manipulation | — | — | ✓ |
| Factory and Warehouse Manual-Labor Tasks | — | — | ✓ |
| Fleet-Scale Policy Improvement via Data Factory 1 | — | — | ✓ |
| Human-in-the-Loop Recovery and Corrections | — | — | ✓ |
| Late-2026 Industrial Deployment Target | — | — | ✓ |
| Machine Tending and Manufacturing Tasks | — | — | ✓ |
| Millimeter-level precision manipulation | ✓ | — | — |
| Multi-Sensor Vision Navigation | — | ✓ | — |
| NVIDIA Edge-Compute Autonomy | — | ✓ | — |
| Outdoor industrial deployment | ✓ | — | — |
| Pick, place, press, twist, and connect manipulation primitives | ✓ | — | — |
| Piece Picking, Packing, Sorting, and Kitting Workflows | — | — | ✓ |
| Pressure-Washer Integration up to 12 GPM and 4,500 PSI | — | ✓ | — |
| Remote VR Proprioceptive Teleoperation for Training | — | — | ✓ |
| Saved and Repeatable Cleaning Routes | — | ✓ | — |
| Semi-Humanoid Industrial Manipulation | — | — | ✓ |
| Up to 6,000 sq ft/hour Cleaning Throughput | — | ✓ | — |
| Vision-Language-Action Model Training | — | — | ✓ |
| Wheeled Two-Arm Platform | — | — | ✓ |
| Wheeled or tracked mobile base configurations | ✓ | — | — |
| Zone-Based Safety and Geofencing | — | ✓ | — |
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 393 robots tracked, 240 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.
