X Square Robot demonstrated its embodied AI system in a live logistics sorting operation, where its WALL-B foundation model and self-developed High-Performance 6-Axis Robot Arm autonomously handled highly variable parcels. The system achieved a throughput of 1,816 parcels per hour with over 98% accuracy, showcasing the potential of embodied AI for real-world logistics automation.
X Square Robot has open-sourced HOST, a framework that enables robots to learn new manipulation skills from a single 29-second human video without fine-tuning. By predicting task outcomes instead of directly imitating human motions, HOST achieves a 62% success rate, while using 50× less data and learning 507× faster than fine-tuning approaches.
X Square Robot Founder and CEO Wang Qian was invited to speak at the APEC High-Level Dialogue on Digital and AI Empowerment, held in Chengdu on July 24 as part of APEC Digital Week 2026.
X Square Robot has released DMuon, an open-source distributed implementation of the Muon optimizer that brings its per-step cost close to AdamW while preserving Muon's convergence behavior.
X Square Robot has released DMuon, an open-source distributed implementation of the Muon optimizer that brings its per-step cost close to AdamW while preserving Muon's convergence behavior.
X Square Robot Launches QUANXTA Zero Series, Reframing Embodied Data Production Through Universal Manipulation Interfaces
Two Chinese robotics firms are pursuing radically different paths to zero-shot learning and general-purpose robot intelligence.
New funding supports development of embodied AI foundation models, commercial deployments and integrated robotics infrastructure, only embodied AI company backed by all four major Chinese internet technology leaders
XRZero-G0: A framework for high-quality robot-free data collection and embodied AI training Scaling embodied AI has long been bottlenecked by data. Teleoperating real robots is expensive and slow, yielding only a limited number of demonstrations per day. While robot-free data collection offers a promising alternative, the lack of systematic quality control and training integration has limited its effectiveness for policy learning.
X Square Robot Open-Sources WALL-WM, Shifting Robot World Modeling From Chunks to Events