Opinion

X Square Robot Shows Full Embodied AI Portfolio at WRC 2026

Daily briefingAmara DialloAug 19, 2026· 3,511 views

X Square Robot presents embodied AI for logistics, dexterous manipulation, and home robotics, plus data infrastructure, at WRC 2026.

X Square Robot is showcasing its full portfolio of embodied AI technologies at the World Robot Conference 2026 in Beijing, demonstrating applications from logistics automation and dexterous manipulation to household robotics and AI training-data collection. The Shenzhen-based company, at booth C107, highlights its WALL-B foundation model, robotic hardware, and data infrastructure.

Key takeaways

  • Logistics system processed 1,816 parcels in an hour with over 98% accuracy, exceeding its 1,248 parcels/hour target by about 45%.
  • Dexterous manipulation demos include flower arranging and fan disassembly, requiring natural-language understanding, adaptive planning, and precise five-finger hand control.
  • The QUANXTA Zero data platform captures synchronized sensor streams within 1 ms and claims 2.33x more efficient data collection than conventional remote control.

The company's WRC presentation extends from industrial tasks to complex manipulation. In a flower-arranging demo, a dual-arm robot interprets natural-language instructions to select a rose and complete a sequence, adapting to environmental changes. A fan-handling task tests long sequences of precise actions, including opening a box and verifying operation, using a general-purpose skill generation platform for dexterous hands.

X Square Robot also presents its "X Family Member Program" with a home environment, demonstrating how robotics and AI could integrate into daily activities. Underlying these applications is the QUANXTA Zero series, which captures human movements without physical connection to a robot, synchronizing vision, touch, and audio data.

Wang Qian, founder and CEO, emphasizes designing automation around real work, not idealized environments. The logistics demo highlights adaptability in parcel induction, where conditions change constantly. Katy Lin, an automation engineering manager, notes that handling real-world variability at speed is impressive. Scarlett Lu, a technology analyst, suggests comparing robot architectures for the same job, noting that the winning robot may be designed around the work, not the human form.

Source: Robotics & Automation News (roboticsandautomationnews.com) · Published 2026-08-19 · “X Square Robot showcases full embodied AI portfolio at WRC 2026”