G2 Genie
Agibot G2 “Genie”is a wheeled humanoid for industrial-grade, people-safe interaction—pairing 7-DoF arms, 360° perception (LiDAR, RGB-D, ultrasonics, mic array), and on-device embodied AI to handle manipulation, guidance, and service tasks.
Description
Key Features
High-Precision Force-Controlled Arms
Dual 7-DoF arms with full torque sensing and cross-shaped wrists enable sub-millimeter assembly, 5 kg payload, and impedance control for safe human interaction.
360° Omnidirectional Perception
Dual LiDARs, RGB-D cameras, ultrasonics, 8-mic array, and visuo-tactile fingertips provide comprehensive spatial awareness, obstacle avoidance, and multi-modal interaction.
On-Device Embodied AI
NVIDIA Jetson Thor T5000 (~200 TOPS) runs GO-1 foundation model, Genie VLM-enhanced stack, and GE-1 world simulator for <10 ms latency mission planning and execution.
Rapid Learning and Deployment
Genie RL and LinkCraft allow task mastery in 1 hour via demos; supports zero-code customization and SDK for industrial integration.
24/7 Industrial Durability
IP42 automotive-grade build, dual hot-swap batteries, autonomous charging, and extreme environment tolerance (-15°C to 50°C) for continuous operation.
Human-Like Interaction
Expressive face, gestures, eye-gaze tracking, multi-user conversation, and explanatory behaviors enhance collaborative usability.
Specifications
| Availability | Prototype |
|---|---|
| Nationality | China |
| Website | https://www.agibot.com |
| Degrees Of Freedom, Hands | 12 |
| Height [Cm] | 175 |
| Manipulation Performance | 3 |
| Navigation Performance | 3 |
| Max Speed (Km/H) | 7 |
| Strength [Kg] | 5 |
| Weight [Kg] | 55 |
| Safe With Humans | Yes |
| Cpu/Gpu | NVIDIA-based local AI compute (exact SKU N/D); ~200 TOPS stated |
| Camera Resolution | RGB-D camera |
| Connectivity | N/D (likely Wi-Fi/Ethernet typical of industrial platforms |
| Llm Integration | WorkGPT/Genie multimodal mission-level model; VLM-enhanced. |
| Motor Tech | high-precision torque-sensing joints; vendor not disclosed |
| Number Of Fingers | 10 |
| Main Market | Industries, logistics, Research & education |
| Verified | Not verified |
| Walking Speed [Km/H] | 7 |
| Manufacturer | Foundation |
| Height Cm | 175 |
| Weight Kg | 55 |
| Max Speed Kmh | 7 |
| Payload Kg Per Arm | 5 |
| Dof Total | 49+ |
| Dof Arms | 7 each |
| Dof Waist | 3 |
| Dof Hands | 12 |
| Fingers | 10 |
| Compute | NVIDIA Jetson Thor T5000, up to 2070 TFLOPS (FP4), ~200 TOPS |
| Sensors | Dual LiDARs, RGB-D camera, ultrasonics, 8-mic array, visuo-tactile fingertips |
| Perception | 360° omnidirectional |
| Ip Rating | IP42 |
| Materials | 100% automotive-grade components |
| Motors | High-precision torque-sensing joints |
| Battery | Dual hot-swappable, autonomous charging, 24/7 operation (kWh N/S) |
| Latency Ms | <10 |
| Os | Lingqu OS (embodied intelligent) |
| Ai Models | GO-1 foundation model, Genie WorkGPT/Genie multimodal VLM, GE-1 world model |
| Mobility | Omnidirectional wheeled base |
| Environment Tolerance | -15°C to 50°C, electrostatic protection |
Curated Videos