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
| Spec | ||
|---|---|---|
| Price | N/A | $30,000 USD |
| Height | 5'11" (1.8 m) | 175cm |
| Weight | 176 lb (80 kg) | 75kg |
| Battery Life | Not officially disclosed | 8 hours |
| Charging Time | Not officially disclosed | 1 hour |
| Max Speed | 1.7 m/s | Not disclosed |
| AI | Foundation Cortex physics-informed AI stack connected to PHANTOM-MK1 | NEBULA AI system — reinforcement learning and imitation learning, semantic task processing, natural language commands |
| Sensors | Not officially disclosed | Vision System, Force Sensors, 96 Fingertip Sensors, IMU |
| Connectivity | Not officially disclosed | Wi-Fi, Ethernet, Cloud Computing (hybrid onboard/cloud) |
| Voice Assistants | None | None |
| Status | Active | Active |
| Category | Humanoid | Humanoid |
| Manufacturer | Foundation Future Industries | Shanghai Kepler Exploration Robot Co., Ltd. |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | Phantom | Forerunner K2 Bumblebee |
|---|---|---|
| Assembly Work | — | ✓ |
| Backdrivable Electric Actuation | ✓ | — |
| Bipedal Walking | ✓ | — |
| Bipedal Walking (heel-strike and toe-off) | — | ✓ |
| Guided Tours | — | ✓ |
| Heavy Payload (25–30kg dual-arm collaborative handling) | — | ✓ |
| Heavy Payload Handling | ✓ | — |
| Human Environment Operation | ✓ | — |
| Industrial Automation | ✓ | — |
| Loading/Unloading | — | ✓ |
| Manufacturing Tasks | ✓ | ✓ |
| Natural Language Task Commands | — | ✓ |
| Object Manipulation | ✓ | ✓ |
| Physics-informed Task Planning | ✓ | — |
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, Commercial 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 AquaSense X 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 D1 Pro is a fast way to compare payload, stability, and commercial ambition inside the quadruped category.
Home presence check — EBO Mini Sport FamilyBot 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 302 robots tracked, 196 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.
