Changchun, China-- June 27, 2026. ZIONEER, a rising Chinese innovator in embodied intelligence, today debuted two fully commercialized embodied robots alongside its self-developed Large Model Z-1, which claimed the No.1 spot on the Robocasa open-source benchmark leaderboard with an average score of 80.0%. 

While mainstream humanoid robot players across the industry spend 18-36 months to complete core R&D and roll out their first marketable product, ZIONEER accomplished full-stack independent core technology development and delivered robots validated on real factory production lines in only eight months. Rather than flashy stage demos, the company showcased fully functional, industrially verified deliverables built for long-term stable operation.

10,000 Proven Runs: Rooted in Automotive-Grade Precision Manufacturing

“What determines sustained industrial competitiveness is not one-off eye-catching demonstrations, but consistent, error-free performance over tens of thousands of operating cycles on real production lines,” said Wang Chao, President and CEO of ZIONEER. 

To deliver industrial-grade reliability, ZIONEER centers its entire R&D pipeline on rigorous, application-driven engineering development tailored to real manufacturing demands.

ZIONEER’s accelerated product rollout is backed by its parent enterprise Jetty Automotive Technology Co., Ltd., which has 15 years of experience in precision automotive component manufacturing, over 2,000 global patents, and a supply chain network covering 129 countries and regions. Global top-tier manufacturing standards and uncompromising reliability are embedded in ZIONEER’s DNA.

ZIONEER Quality Inspector: Production-Grade Robot Solves Complex Automotive Wiring Harness Inspection

ZIONEER’s first industrial robot, the Quality Inspector, marks the world's first embodied intelligent robot dedicated to mass manufacturing component quality inspection.

Automotive wiring harness inspection is widely recognized as the Mount Everest of industrial automation due to their variable product shapes and stringent quality standards. Powered by ZIONEER’s self-developed 7-axis high-precision robotic arm, integrated industrial cameras and proprietary high-precision vision algorithms, paired with long-endurance hardware configurations, ZIONEER Quality Inspector can provide a comprehensive end-to-end automated inspection solution for this challenging workflow.

During the on-site live demonstration, ZIONEER Quality Inspector competed with three experienced human inspectors on wiring harness testing, with the entire process witnessed by a third-party notary office. Both human inspectors and the robot inspector achieved 100% detection accuracy, yet ZIONEER Quality Inspector delivered over 2 times higher inspection throughput while cutting overall inspection costs by more than 30%.

ZIONEER guarantees full on-site deployment within seven days, alongside a centralized intelligent scheduling platform capable of orchestrating thousands of robot units simultaneously. All inspection data is automatically archived and fully traceable, providing complete data support for enterprises’ refined quality management, process optimization and production iteration. Beyond quality inspection, the robot supports flexible adaptation to diverse industrial scenarios, such as sorting, material handling, packaging and more, maximizing factory equipment utilization.

Xiao Mu, ZIONEER’s Commercial Service Robot Enables 24-Hour Store Operation

For commercial retail scenarios, ZIONEER launched Xiao Mu, a compact, user-friendly service robot engineered for plug-and-play deployment with zero modification to existing store environments.

Its compact body and agile mobile chassis can freely navigate through narrow aisles in various stores, with effortless access to high/low shelves and retail counters. Equipped with ZIONEER’s self-developed semantic and pharmacy consultation large language model, Xiao Mu comes preloaded with a database of over 100,000 pharmaceutical SKUs and features powerful one-shot learning capabilities.

ZIONEER has cooperated with Jilin Pharmacy to deliver round-the-clock unattended service to cover off-hours customer needs in smart pharmacies, supermarkets, and brand stores, integrating shelf patrol, stock replenishment, customer consultation and order fulfillment into one versatile unit.

Large Model Z-1: Top-Ranked Open-Source Benchmark, Empowering Robots to Comprehend Human Intent

Serving as the core cognitive and decision-making brain powering all ZIONEER robotic hardware, the self-developed Large Model Z-1 is trained on an in-house dedicated training platform that generating millions of hours of real-world operational data, covering millions of industrial and commercial product SKUs. Built on kinematics-inspired tokenization and a proprietary autoregressive architecture, Z-1 secured the first place on the Robocasa open-source leaderboard at launch. Its optimized efficient reinforcement learning strategy significantly boosts the model's learning efficiency by 300%, enabling full closed-loop decision-making amid complex dynamic environments.

Mr. Yitong Li, Chief Engineer of ZIONEER Large Model R&D Center, shared the design philosophy: “High-performance embodied intelligence goes far beyond executing rigid fixed commands. It requires robots to accurately interpret human intentions and make autonomous decisions amid ever-changing physical environments.” 

Global Strategic Layout: From Embodied Tech Developer to Large-Scale Industrial Practitioner

As the global embodied intelligence industry shifts from laboratory technical validation to large-scale commercial delivery, ZIONEER has laid out a long-term roadmap targeting an annual production capacity of over 100,000 robots by 2030.

Upholding its core principle of “real products, real scenarios and real production lines,” ZIONEER is committed to advancing scalable, high-performance embodied intelligence solutions. By deploying intelligent agents to elevate global industrial efficiency, the company strives to create lasting value for human technological progress and the advancement of healthy longevity industries worldwide.