SHANGHAI, CHINA - Media OutReach Newswire - 20 July 2026 - The 2026 World Artificial Intelligence Conference (WAIC 2026) opened in Shanghai on July 17 and runs through July 20 under the theme "Intelligent Partners, Co-create the Future," covering three major exhibition areas: the Expo area, Zhangjiang area, and West Bund area. Matrix Robotics, a technology company focused on general-purpose humanoid robots and Physical AI, presented four third-generation general-purpose humanoid robots, MATRIX-3, at the event. The company showcased the core capabilities of its self-developed WAVE Physical World Foundation Model, its full-stack technology system and multi-scenario deployment achievements, demonstrating the general-purpose capabilities and scalable commercial potential of China-developed Physical AI and humanoid robotics. During WAIC 2026, Matrix Robotics moved beyond conventional static displays by creating four live demonstration zones. The four hardware-identical MATRIX-3 units, supported by a unified general-purpose Physical AI foundation, flexibly switched between diverse and complex tasks, directly demonstrating the core commercial value of general-purpose Physical AI: low cost, high adaptability and rapid transferability. The company delivered continuous multidimensional live robot demonstrations, announced the latest technical upgrade to the WAVE model, shared updates on its RAAS ecosystem partner program, and officially launched the MATRIX Global Partner Program for regional market expansion, presenting its progress in technology iteration, commercialization and global ecosystem development. WAVE Physical World Foundation Model Lays the Core AI Foundation for General-Purpose Humanoid Robots Unlike large language models trained primarily on internet text, Matrix Robotics' self-developed WAVE Physical World Foundation Model is purpose-built for physical robots operating in real-world environments. It serves as the core "brain" that enables MATRIX-3 to perform intelligent tasks and human-like interactions. Trained on large-scale real-world and simulated interaction data, the model has learned patterns of physical dynamics, allowing it to adapt precisely to complex real-world task scenarios and move beyond traditional robots' reliance on fixed scripts and single-scenario constraints. Architecturally, WAVE uses a proprietary "brain–cerebellum" collaborative architecture: the WAVE model, as the "brain," is responsible for global scene understanding, logical reasoning, task planning and generalized operations; the general-purpose motion control model, as the "cerebellum," generates natural and smooth full-body motion. Together, they enable the robot to "think clearly and move naturally," delivering human-like intelligent performance. Relying on training infrastructure and an end-to-end data toolchain that it has fully developed and built in-house, Matrix Robotics can independently manage the full end-to-end process, from model iteration and data acquisition to data annotation and governance. Through large-scale real-robot deployment and continuous feedback of real-world scenario data, the company is building a technical flywheel in which "more data leads to stronger models and broader scenario adaptability," continuously improving cross-scenario generalization and providing core intelligent support for multi-scenario robot deployment. Full-Scenario Live Demonstrations Validate Commercialization Readiness of General-Purpose AI Empowered by the WAVE Physical World Foundation Model, MATRIX-3 completed multiple standardized live task demonstrations at the event, covering four core scenarios: commercial service, empathetic human-robot interaction, fine manipulation and humanoid motion. The demonstrations validated the deployment value of general-purpose Physical AI in commercial services, daily-life assistance, cultural tourism and science education, public services and other fields. 1. Live Consumer Service Demonstration: End-to-End Autonomous AI Barista Operations The exhibition featured a live coffee service experience area, where MATRIX-3 served as an AI barista. With multimodal perception and precise force-control capabilities, the robot autonomously operated coffee machine buttons, picked up cups and collected prepared beverages. The stable and coherent workflow recreated a commercial reception service scenario and validated its deployment feasibility in retail service, exhibition reception and commercial service settings. 2. Empathetic Human-Robot Interaction: Creating Warm, Human-Like Intelligent Experiences Matrix Robotics also demonstrated flexible, human-like interaction capabilities. Supported by visual recognition and advanced speech and semantic understanding, MATRIX-3 can move beyond fixed scripts for natural interaction and perform a range of interactions such as musical finger dances, rock-paper-scissors games with audiences, biomimetic handshakes and all-day voice Q&A. With...