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 | N/A |
| Height | 160cm | Approximately 1.6 m (5 ft 3 in) |
| Weight | 130kg | Not officially disclosed |
| Battery Life | 25 minutes | Not officially disclosed |
| Charging Time | Not disclosed | Not officially disclosed |
| Max Speed | 2 km/h | Not officially disclosed |
| AI | Honda distributed control system | Low-inertia dynamic manipulation research platform using torque control, trajectory acceleration feedforward, task-readiness impedance for catching, and real-time hardware learning for juggling patterns |
| Sensors | Onboard vision feedback for juggling demonstrations | |
| Connectivity | ||
| Voice Assistants | None | None |
| Status | Discontinued | Prototype |
| Category | Research | Research |
| Manufacturer | Honda | Robotics & AI Institute |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | P3 | AthenaZero |
|---|---|---|
| 70 mph ball throwing demonstration | — | ✓ |
| Autonomous Bipedal Walking | ✓ | — |
| Ball catching up to 41 mph over 7.3 m | — | ✓ |
| Barehanded juggling with onboard vision feedback | — | ✓ |
| Batting practice with real-time swing adaptation | — | ✓ |
| Bimanual dynamic manipulation | — | ✓ |
| Cart Pushing | ✓ | — |
| Compliant contact and forceful manipulation | — | ✓ |
| Independent Operation | ✓ | — |
| Low-inertia, backdrivable quasi-direct-drive actuation | — | ✓ |
| Object Carrying | ✓ | — |
| One-DoF torso with two 7-DoF arms | — | ✓ |
| Robot-to-robot and human-to-robot catch demonstrations | — | ✓ |
| Two 6-DoF underactuated hands | — | ✓ |
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 344 robots tracked, 216 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.
