AGIBOT X2

AGIBOT X2 is a half-size humanoid robot designed for entertainment, education, and commercial interaction scenarios, offering an excellent balance between performance, safety, and cost-effectiveness. With a compact and lightweight structure, X2 supports a wide range of full-body motions, human-like gestures, and preset motion skills, making it highly suitable for public-facing and interactive environments.

X2 features multimodal and proactive interaction capabilities, including facial expressions, voice interaction, gesture recognition, body pose recognition, and touch response. Its customizable interaction system allows users to define robot personas, wake words, voice tones, and behaviors in real time, enabling engaging and natural human–robot interaction.

In terms of motion control, X2 supports full-body motion generation, self-righting, sit-to-stand transitions, and over 20 agile upper-body and whole-body movements, with smooth motion choreography. The robot also supports zero-code training via LinkCraft, allowing easy action imitation, voice imitation, and group control without programming.

With flexible secondary development support, X2 is ideal for education, exhibitions, research, data collection, and commercial performances, providing a safe, expressive, and highly adaptable humanoid robotics platform.

Now, you may ask - "ok, great robot, then how will student and teach to control it without coding or computing skill background?" 

LinkCraft is AGIBOT’s low-code / no-code robot training and motion orchestration platform, designed to significantly lower the barrier to humanoid robot development and deployment. It enables users to create, edit, and deploy robot behaviors without programming, making advanced humanoid control accessible to educators, researchers, and commercial users.

Through action imitation and demonstration-based training, users can teach robots full-body motions, gestures, and interaction behaviors by simple visual or physical guidance. LinkCraft also supports voice imitation, group control, and synchronized multi-robot actions, enabling coordinated performances, classroom demonstrations, and large-scale exhibitions.

The platform provides intuitive tools for motion choreography, parameter tuning, and behavior sequencing, allowing rapid customization of robot movements such as walking speed, posture, gestures, expressions, and interaction logic. Trained actions can be reused, modified, and deployed across different scenarios.

By combining ease of use with powerful motion control, LinkCraft serves as a key enabler for education, research, data collection, entertainment, and commercial applications, accelerating innovation while reducing development time and cost.