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 | $30,000 USD | $13,500 USD | N/A | N/A |
| Height | 175cm | 132cm (standing) | 118cm | 173cm |
| Weight | 75kg | 35kg (with battery) | 30kg | 85kg |
| Battery Life | 8 hours | ~2 hours | 2 hours walking, 4 hours standing | 10 hours |
| Charging Time | 1 hour | Not disclosed | Not disclosed | Not disclosed |
| Max Speed | Not disclosed | >2 m/s trot speed | 0.5+ m/s walkingNot safely comparable as a typed unit | 5 km/h |
| Degrees of Freedom | N/A | N/A | N/A | N/A |
| AI | NEBULA AI system — reinforcement learning and imitation learning, semantic task processing, natural language commands | 8-core high-performance CPU (optional NVIDIA Jetson Orin for EDU) | Intel Core i7-1370P (14 cores); NVIDIA Jetson AGX Orin 32GB (200 TOPS); optional Edge LLM (MiniCPM) | Proprietary VLA models (GraspVLA, GroceryVLA, TrackVLA) with NVIDIA Isaac Sim training pipeline |
| Sensors | Vision System, Force Sensors, 25 tactile contact points per finger, IMU | Depth Camera, 3D LiDAR, 4 Microphone Array, Dual Joint Encoders | Intel RealSense D455 RGBD Depth Camera, 9-axis IMU, Circular 6-Mic Array, Speaker, Dual Joint Encoders | Binocular camera x1, Wrist depth cameras x2, 6-axis force sensors x2, Torso RGB cameras x4, IMUs (torso x2, chassis x1), Chassis 3D LiDAR x1, Ultrasonic sensors x8 |
| Connectivity | Wi-Fi, Ethernet, Cloud Computing (hybrid onboard/cloud) | Wi-Fi 6, Bluetooth 5.2 | Wi-Fi 6, Bluetooth 5.2, USB, Ethernet | Wi-Fi (2.4/5 GHz), Ethernet, USB |
| Voice Assistants | None | None | None | Natural Language Voice Commands |
| Status | Active | Available | Active | Active |
| Category | Humanoid | Humanoid | Humanoid | Commercial |
| Manufacturer | Shanghai Kepler Exploration Robot Co., Ltd. | Unitree | Booster Robotics | Galbot |
Capability matrix
Use this grid when the shortlist is already close and feature gaps become the real tiebreaker.
| Capability | Forerunner K2 Bumblebee | G1 | Booster T1 | G1 |
|---|---|---|---|---|
| 130 N·m Peak Joint Torque | — | — | ✓ | — |
| 23-41 Degrees of Freedom (version-dependent) | — | — | ✓ | — |
| Assembly Work | ✓ | — | — | — |
| Autonomous Retail Store Operation | — | — | — | ✓ |
| Bipedal Walking | — | ✓ | — | — |
| Bipedal Walking & Running | — | — | ✓ | — |
| Bipedal Walking (heel-strike and toe-off) | ✓ | — | — | — |
| Dexterous Hands (optional Dex3-1) | — | ✓ | — | — |
| Firmware OTA Updates | — | — | ✓ | — |
| Foldable Design (69cm folded) | — | ✓ | — | — |
| Full SDK for Secondary Development | — | — | ✓ | — |
| Generalizable Object Grasping (5,000+ product types) | — | — | — | ✓ |
| Guided Tours | ✓ | — | — | — |
| Heavy Payload (25–30kg dual-arm collaborative handling) | ✓ | — | — | — |
| Loading/Unloading | ✓ | — | — | — |
| Manufacturing Tasks | ✓ | — | — | — |
| Mobile App Control (Bluetooth) | — | — | ✓ | — |
| Natural Language Command Understanding | — | — | — | ✓ |
| Natural Language Task Commands | ✓ | — | — | — |
| OTA Upgrades | — | ✓ | — | — |
| Object Manipulation | ✓ | ✓ | — | — |
| Optional 5G Connectivity | — | — | ✓ | — |
| Package Handling & Delivery | — | — | — | ✓ |
| ROS 2 Compatible | — | — | ✓ | — |
| Research Platform | — | ✓ | — | — |
| Secondary Development (EDU) | — | ✓ | — | — |
| Self-Recovery (prone to standing) | — | — | ✓ | — |
| Shelf Replenishment & Inventory Management | — | — | — | ✓ |
| Wheeled Autonomous Navigation | — | — | — | ✓ |
| Zero-Shot Scene Adaptation | — | — | — | ✓ |
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 400 robots tracked, 245 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.
