AgiBot G1 is a wheeled humanoid robot and predecessor to the G2 in the Genie series, designed as a general-purpose data collection and model inference platform for embodied AI development. Weighing 150 kg with variable height of 130-180 cm and 26 degrees of freedom, it features Jetson AGX Orin 64GB compute, 8 cameras including 3 RGBD and 5 fisheye cameras, dual six-axis force sensors, LiDAR, and VR teleoperation support. Targets industrial, commercial, and domestic multi-scenario operation.
Primary use case: Embodied intelligence applications
Locomotion
unknown
Hand Type
unknown
Max Lift/Arm
3 kg
Autonomy Level
unknown
Availability
unknown
Primary Use Case
Embodied intelligence applications
IDC data shows AGIBOT led global humanoid robot shipments in H1 2026, shipping more than 8,600 units—approximately 35% of global shipments of nearly 25,000 units (up 432.1% YoY). The article highlights AGIBOT's milestone of 20,000 cumulative robots produced by September 2026, along with large-scale deployments at Chimelong Spaceship Park (300+ robots) and ASD retail stores (100 AGIBOT X2 units).
AGIBOT has partnered with ASD (SZSE: 002403), a leading Chinese cookware and kitchenware company, to deploy 100 AGIBOT X2 humanoid robots across 100 ASD retail stores in China. The robots serve as in-store sales assistants, handling customer greetings, needs assessment, product recommendations, and handing off promotions and transactions to human staff. A three-day livestream from September 28-30, 2026 showcases the robots operating for 10 consecutive hours daily in stores in Wenling, Shanghai, and Wuxi.
AGIBOT demonstrated its WITA-Omni embodied-native omni-modal model at the Greater Bay Area Film Concert, where robots interacted face-to-face with a celebrity in real-time by identifying speakers, coordinating speech, movement, and expressions dynamically rather than following scripted sequences. The model uses a Thinker-Talker-Actor architecture that aligns speech and physical behavior along the same timeline, achieving top benchmark performance on the DailyOmni evaluation.