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 | 173cm (5'8") | 165cm |
| Weight | 57kg (125 lbs) | 71kg |
| Battery Life | Not disclosed | ≈3 hours (hot-swappable) |
| Charging Time | Not disclosed | Not officially disclosed (current official page only says faster charging with fewer swaps)Not safely comparable as a typed unit |
| Max Speed | Not disclosed | Not officially disclosed on current official GR-3 Series pageNot safely comparable as a typed unit |
| AI | Tesla Autopilot-derived neural network | Fourier Full-Perception Multimodal Interaction System (dual-path: rule-based + LLM reasoning) |
| Sensors | Cameras (Tesla Vision-based), Force/Torque Sensors, IMU | RGB Camera, Structured-Light Depth Camera, 4-Microphone Array (voice localization, echo cancellation), 31 Distributed Pressure Sensors (full-body tactile), IMU, Force/Torque Sensors |
| Connectivity | Wi-Fi | Wi-Fi, Ethernet |
| Voice Assistants | None | None |
| Status | Prototype | Active |
| Category | Humanoid | Humanoid |
| Manufacturer | Tesla | Fourier |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | Optimus Gen 1 | GR-3 |
|---|---|---|
| Bipedal Walking | ✓ | ✓ |
| Carrying up to 20kg (45 lbs) | ✓ | — |
| Conversational AI | — | ✓ |
| Dance Performance | — | ✓ |
| Emotional Interaction | — | ✓ |
| Facial Recognition | — | ✓ |
| Manufacturing Assistance | ✓ | — |
| Object Manipulation | ✓ | ✓ |
| Repetitive Task Automation | ✓ | — |
| Touch Response | — | ✓ |
| Voice Localization | — | ✓ |
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 D1 Pro 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 334 robots tracked, 211 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.
