2026 World Robot Conference | Lyric Chairman Zhou Junxiong: Only by rooting itself in craftsmanship can AI grow from a tool into a partner.

The 2026 World Robot Conference (WRC) was successfully held in Beijing recently. Under the theme of “Human Robot Symbiosis, Industry Demand Integration”, this conference comprehensively showcased innovative achievements across the entire robot industrial chain, vividly demonstrating the robust momentum of smart technology empowering the real economy and serving high quality socioeconomic development. Against the backdrop of continuous expansion and quality improvement in China’s robotics industry, innovation capabilities are steadily growing and application scenarios keep expanding. Coupled with the accelerated iteration of global artificial intelligence technologies, intelligent robots have become a core carrier connecting digital technologies with the physical real economy, deeply empowering industrial transformation and upgrading. Mr. Zhou Junxiong, Chairman of Lyric, was invited to the themed event on Embodied Intelligence Empowering Equipment and Industrial Technology Upgrading and took part in the high‑end manufacturing industry forum dialogue. He shared practical experience and forward‑looking insights on AI innovation in the manufacturing sector around four core industry topics, and witnessed the official release of the Strategic Research Report on AI‑Chained Manufacturing.

Chairman Zhou Junxiong’s Speech: Rooted in Craftsmanship, Forging Intelligent Industrial Partners

At the forum, Chairman Zhou Junxiong delivered a keynote speech centered on the core theme of "AI Empowering Factory Operations". He put forward a key judgment: for industrial AI to move beyond a mere tool and evolve into a genuine symbiotic partner for the manufacturing industry, it must be deeply rooted in frontline workshop scenarios and underlying production craftsmanship, enabling intelligent technologies to take root and function in real production environments.

Difficulties in process adaptation and on site deployment constitute the core barriers to large scale application of industrial AI today. Industrial production faces complex and volatile physical scenarios. Variations in material properties, fine tuning of process parameters, and fluctuations in production environments all exert direct impacts on production performance and product quality. Without accumulated manufacturing process know how and the capability to digitize physical rules, even the most sophisticated algorithm models cannot deliver practical on site results. Drawing on its in depth experience in high end manufacturing, Lyric is committed to forging deep connections between the “Process Brain” and actual workshop operations. All AI R&D projects stem from real world pain points on production floors, and every algorithm iteration and optimization undergoes full condition practical verification on production lines. The value of technological deployment is measured by tangible production metrics including higher yield rates, improved productivity and optimized costs.

Regarding the differentiated development of general‑purpose AI versus industrial‑specific AI, Chairman Zhou Junxiong noted that general large‑scale models feature broad coverage and strong generalization capability, yet struggle to adapt to the refined production requirements of industry. By contrast, Lyric’s self‑developed industrial agents are professional intelligent models deeply cultivated for vertical manufacturing processes. Acting as “full‑time craftsmen” for the manufacturing sector, they boast three core strengths. First, deep dive into the essence of manufacturing processes. Built upon hundreds of thousands of process parameters, defect samples and equipment operation data accumulated over years within the enterprise, the model establishes deep linkage between production mechanisms and physical rules. Second, focus on closed loop deployment. Moving beyond simple question and answer interaction, it can optimize process parameters in real time, predict potential equipment risks, and directly connect with equipment control systems to resolve practical operational challenges. Third, industrial grade high reliability. All intelligent judgements are traceable with process based evidence. It adapts to 7×24 hour non stop high intensity production on production lines and complies with stringent industrial operation standards.

On the path toward large scale AI implementation, Chairman Zhou Junxiong pointed out that the core bottleneck in manufacturing AI upgrading lies not in cutting edge algorithm technologies, but in the shortage of interdisciplinary talents. The industry currently faces a notable mismatch between supply and demand. Algorithm researchers excel in model architecture and coding development yet lack familiarity with on site process logic. Meanwhile, senior frontline process specialists boast decades of hands on experience but struggle to translate accumulated craftsmanship expertise into AI training capabilities. The intelligent iteration of the manufacturing industry is never an outcome of closed door laboratory R&D, but a result of continuous empowerment and enrichment drawn from real world frontline process experience.

During his on site sharing, Chairman Zhou Junxiong illustrated the tangible value of industrial AI deployment with real world enterprise cases. Leveraging the testing technology heritage of Shunshi Measurement & Control, its wholly owned subsidiary, Lyric addressed common industry challenges in weld inspection by innovating its talent application model: senior welding process engineers with more than ten years of hands on experience were retrained as “program trainers”. Without writing any code, these process engineers translate practical know how for judging cold solder joints, pits and defects into labeling rules recognizable by AI, enabling continuous iteration and optimization of the inspection model. The resulting intelligent inspection solution combining 3D point cloud and process driven AI achieves a detection accuracy of 0.05 mm — twice the resolution limit of the human eye. Each single part scan takes only 0.8 seconds, delivering over ten fold improvement in inspection efficiency versus manual work, and realizing full coverage 100 percent accurate inspection across production lines.

In his concluding remarks, Chairman Zhou Junxiong emphasized that craftsmanship is the bedrock of intelligentization, and that only by firmly rooting itself in craftsmanship can AI evolve from a mere tool into a true partner.

Looking Ahead to 2030: Deepening Roots in Smart Manufacturing to Empower Industrial Self-Reliance and Strength

Sharing his vision for 2030, Chairman Zhou Junxiong stated that as technology continues to evolve and the industrial ecosystem matures, AI will become deeply integrated into both production and daily life, transforming into a reliable partner that is accessible to everyone.

With a long term industrial layout aligned with national strategic priorities, Lyric leverages its accumulated strengths in technology, craftsmanship and turnkey factory delivery built up over years of deep engagement in intelligent manufacturing. It translates the practical outcomes of industrial AI deployment into momentum for industrial upgrading, and has proactively laid out three core frontier tracks. In the AI computing power segment, Lyric deepens its expertise in precision assembly of GPU servers, consolidating the hardware foundation for the operation of large scale artificial intelligence models. In the intelligent terminal segment, it builds automated production lines for new intelligent terminals such as AI glasses, supporting large scale, high quality mass production of consumer grade intelligent products. In the embodied intelligence and humanoid robot segment, it breaks through mass production bottlenecks of core components, and establishes a full process intelligent manufacturing system spanning from joint module fabrication to complete machine assembly. Going forward, Lyric will continue to take high end precision equipment as its cornerstone, bridge the physical link between AI technology R&D and on site deployment, and enable independent, controllable development across the entire artificial intelligence industrial chain, injecting sustained impetus into strengthening China’s strategic sci tech strength and advancing the upgrading of intelligent manufacturing.