AgiBot G2

The AgiBot G2 is a new general-purpose intelligent humanoid robot, designed for immediate large-scale industrial development and commercial application. The primary objective is to build world-leading general-purpose embodied robots by pioneering the fusion of AI and robotics, thereby automating human labor across divers sectors. This commitment to mass-scale industrialization is validated by a framework order for nearly 1,000 G2 units placed by the manufacturer Longcheer, confirming the robot's commercial viability.

• Reliable Task Execution:
  The core intelligence, the GO-1 LLM, uses a Vision-Language-Latent-Action (VLLA) architecture to translate complex instructions and visual data into precise physical actions. In controlled tests, this model achieved an average success rate of 78% across five tasks of varying complexity, significantly outperforming competitors.
• ‍Continuous Skill Acquisition:
  The G2 platform is designed to learn from both human-generated videos and real-world issues it encounters, allowing the robot to continuously evolve and improve its intelligence autonomously throughout its operational life.‍
• Complex Logistics and Manufacturing:
  In industrial settings, the G2 can handle tasks such as industrial manufacturing processes, logistics sorting, machine tending, and quality inspection, leveraging its payload capacity and flexibility.‍
• Guided Interaction and Services:
  The robot can serve as a guide and receptionist, capable of autonomous movement and fluent interaction powered by its self-developed LLM.

• Manufacturing:
  Deployment in factories for repetitive tasks such as assembly, quality control, and machine tending.
• Logistics and Warehousing:
  Used for complex logistics sorting, material handling, and general warehouse operations.
• Commercial Services and Hospitality:
  Functions include guided reception, commercial cleaning, and commercial entertainment in public and business settings.
• Security Patrols:
  Deployment for autonomous perimeter and internal facility monitoring.
• Education and Research:
  The platform serves as a base AI research, data collection and developing new embodiment models.