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X Square Robot Launches QUANXTA Zero Series for Embodied AI Data Collection

ByAyshathul Mushrifa

X Square Robot has introduced the QUANXTA Zero Series, a software-hardware integrated platform designed to transform embodied AI data production through universal manipulation interfaces. Announced in Shenzhen, the platform combines data collection, synchronization, automated cleaning, intelligent annotation, model training and evaluation into a unified workflow, helping robotics developers accelerate the deployment of foundation models for intelligent robots.

The company developed the QUANXTA Zero Series to address three major challenges facing embodied AI: limited training data, inefficient data collection and inconsistent data quality. The product lineup includes the QUANXTA Zero-G1, Zero-G0 and Zero-E0, supporting applications ranging from dual-arm manipulation and mobile robotics to first-person contextual data capture. Together, they provide scalable tools for collecting high-quality multimodal robotics datasets.

X Square Robot stated:

"QUANXTA Zero is more than a lightweight data collection device. It connects data collection, high-fidelity synchronization, automated cleaning, intelligent annotation, model training, robot inference and evaluation into one closed-loop workflow, helping bridge the last mile from data to deployable models."

The flagship QUANXTA Zero-G1 uses a headband and dual-gripper configuration to capture visual, tactile and audio data simultaneously. The system synchronizes multiple sensors within 1 millisecond, delivers 100% frame-level video alignment, and enables nearly 100 demonstrations per hour, representing a 2.33× improvement over conventional teleoperation methods. Automated annotation and AI-assisted quality control further improve data consistency.

Through its integrated data pipeline, QUANXTA Zero converts raw robot demonstrations into trainable datasets using automated cleaning, multimodal semantic labeling, human-AI verification and closed-loop model evaluation. X Square Robot believes the platform will accelerate general-purpose automation.