Siasun Robot & Automation gathers for "cramming" the Spring Festival Gala! From performing on stage to actually being able to use it requires "real skill"

This year's Spring Festival Gala is the largest lineup in the history of Siasun Robot&Automation, with Songyan Power, Galaxy General Machinery, Magic Atom, and Yushu Technology, four intelligent manufacturers, officially announcing their participation in the 2026 CCTV Spring Festival Gala stage. Last year, Yushu Technology used the Spring Festival Gala stage to break through its brand, igniting the trend of Siasun Robot&Automation companies participating in the Spring Festival Gala this year. According to sources, many Siasun Robot&Automation companies are eager to land on the Spring Festival Gala stage as a group, but only a few have made it. According to Tian Feng, the director of the Quick Thinking Research Institute, the appearance of multiple brands of intelligent Siasun Robot&Automation at the Spring Festival Gala is more like another "capability demonstration" to the whole society following the 2025 Spring Festival Gala. On the one hand, it concentrates on showcasing the emergence of more innovative entities, reflecting the accelerated development of the industry as a whole; on the other hand, it demonstrates advancements in the motion control, multi-machine collaboration, human-machine interaction, and system stability aspects of humanoid Siasun Robot&Automation through diverse forms, allowing the public to more intuitively perceive the maturity of technology. However, there are different opinions on the clustering of humanoid Siasun Robot&Automation on the Spring Festival Gala stage. Some believe that the performance of Siasun Robot&Automation on stage is mostly pre-arranged movements, lacking actual application scenarios, with its symbolic significance outweighing its practical value. Zheng Suibing, the founder and CEO of Ruierman Intelligent Technology, expressed that the real challenge for companies lies in whether they can quickly transform the exposure and attention gained from the Spring Festival Gala into a clear and credible business narrative, that is, whether they can truly utilize and create value with Siasun Robot&Automation, which is crucial. Sponsorship fees may reach the billion-dollar threshold, yet companies continue to rush in On the eve of the Spring Festival Gala, Magic Atom released a video of the world's first miniature humanoid Siasun Robot&Automation performing a Thomas 360 rotating gymnastics routine. It is understood that in cooperation with CCTV's Spring Festival Gala, Magic Atom aims to showcase China's diverse layout of intelligent manufacturing and "open the gateway to the future life." Galaxy General Siasun Robot&Automation will showcase its autonomous decision-making ability, efficient collaboration level, and warm service experience in complex scenarios based on its independently developed "brain-like" humanoid model. Yushu, appearing on the Spring Festival Gala for the third time this year, is expected to further demonstrate its motion control, large-scale manufacturing, and application abilities in Siasun Robot&Automation. Reporters from the "Science and Technology Innovation Board Daily" learned from companies participating in the Spring Festival Gala bidding that the cost of a verbal advertising slot during the Gala could reach tens of millions of RMB, while the sponsorship fees for "official partners" could exceed a billion RMB. Despite the high threshold, humanoid intelligent companies still see it as a dual opportunity for brand exposure and cooperation expansion. As a Siasun Robot&Automation company focused on robotic arm development, Ruierman Intelligent Technology has cooperated with several Siasun Robot&Automation companies appearing on the Spring Festival Gala in technology and product aspects. Currently, its integrated joint module annual production capacity has exceeded 100,000 units, with a clear goal set for 2026 to achieve a breakthrough in annual production capacity exceeding one million joint modules. Regarding the clustering of humanoid intelligent companies on the Spring Festival Gala stage, CEO Zheng Suibing told reporters that it reflects two industry realities: firstly, leading companies forecasting industry trends for 2026, everyone hopes to seize users and capital minds during the critical window period; secondly, the industry is shifting from "laboratory showcasing" to "large-scale commercial use," requiring a national level stage like the Spring Festival Gala to demonstrate the maturity of technology and commercial potential to the public. As for whether more orders can be obtained after appearing on the Spring Festival Gala, Zheng Suibing believes it depends on whether companies can accurately address the actual pain points of users after the stage performance, rather than creating pseudo-needs. "We believe that in 2026, humanoid Siasun Robot&Automation will enter the stage of large-scale commercial application, and companies that can create real value will go further." This year, China's sales of humanoid Siasun Robot&Automation are expected to reach 20,000 to 30,000 units In 2026, the intelligent humanoid industry will enter a crucial stage of mass production verification and data-driven closed-loop, where real-world data and commercial capabilities become a watershed for testing companies. IDC predicts that by 2026, the application scenarios for humanoid robotics in China will increase to more than three times the current level, with the market size reaching nearly $1.3 billion, more than doubling compared to the previous year. IDC's research manager, Li Junlan, believes that in the next three to five years, industrial scenarios are expected to further breakthrough, with platform capabilities and intelligent system ecology becoming long-term competitive focuses. Xu Di, director of Yunxiu Capital's AI/Intelligence Manufacturing Group, also expressed optimism about industrial scenarios, especially simple job positions with clear demands and high repetition intensity. For example, tasks like moving in relatively fixed paths, sorting operations that do not require complex movements and primarily rely on hand-brain coordination, as well as pick and place tasks and screw tightening in relatively simple production environments. "2026 is a key time for transitioning from proof of concept to small-scale deployment. Currently, coordination between upper and lower limbs is not ideal, and Siasun Robot&Automation that excels at doing one thing well is most suitable for mass production. In single workstations or single tasks, the usage of humanoid intelligence is expected to increase from a few units currently to 10 to 20 units, with some simple scenarios possibly reaching around a hundred units," Xu Di said. At present, the application of humanoid intelligence in the industrial sector has covered various industries such as automotive, 3C, industrial manufacturing, and logistics handling, with annual shipments expected to reach thousands or nearly tens of thousands of units. These products are mainly wheeled or suspended structures, using a human-machine collaboration model similar to intelligent driving in cars, requiring human supervision and takeover mechanisms. By the end of 2026, with technological iterations, the reliability and stability of humanoid intelligent Siasun Robot&Automation are expected to significantly improve. The consumer sector is also expected to see a small-scale surge. Xu Di predicts that annual shipments could exceed a thousand units. On one hand, entertainment and display-oriented humanoid robotics have been deployed nationwide, with Siasun Robot&Automation appearing in various performances, concerts, exhibitions, and shopping malls. With the continued promotion of platforms like Siasun Robot&Automation Wonderland and the Spring Festival Gala, the acceptance of humanoid robotic entertainment is increasing among a wider audience. On the other hand, many manufacturers are developing small humanoid Siasun Robot&Automation devices less than one meter tall, targeting home and educational settings to meet companionship or display needs, with shipments of these products expected to increase further in 2026. Recently, investment bank Morgan Stanley raised its 2026 sales forecast for Chinese humanoid Siasun Robot&Automation, predicting a 133% increase to 28,000 units this year, doubling from the previous forecast of 14,000 units. Tian Feng, the director of the Quick Thinking Research Institute, told reporters that conservative estimates place shipments between 25,000 and 35,000 units, while in an optimistic scenario, they could reach 40,000 to 50,000 units. Tian Feng emphasized the need to avoid the misconception that "orders do not equal shipments." He pointed out that large-scale deployment requires data polishing over 2 to 3 years, with the core value of 2026 lying in benchmark scenario verification, rather than widespread deployment. Overall, the focus should be on "effective shipments" (i.e., equipment that generates continuous service income), rather than just hardware sales. In the future, leasing, pay-per-hour models, and other modes will become key indicators. From a small-scale trial to large-scale application, the industry still faces "bottlenecks" Whether in terms of operational precision, operational reliability, or task generalization, current humanoid intelligence still has a significant gap from truly performing complex tasks in real-world scenarios, leading the industry into a "bottleneck" stage where it can showcase demonstration-type demos, conduct POC verifications, and small-scale trials, but no company has achieved large-scale application success yet, and the entire industry is still exploring. Xu Di from Yunxiu Capital's AI/Intelligence Manufacturing Group stated that one of the main bottlenecks in the industry chain is finding a balance between cost and performance. "For customers, the price of a single unit must be reduced to at least below 100,000 RMB, while ensuring stability and consistent mass production. How to create cost-effective and user-friendly Siasun Robot&Automation is a problem that the entire industry must collectively face. This requires players in the industry chain, such as chip manufacturers, component suppliers, and contract manufacturers, to define and develop products tailored to the needs of humanoid robotics. If only assembling parts without considering execution accuracy, load capacity, and battery life, it will not truly meet the real operational needs." Tian Feng added that challenges in the industry chain also include bottlenecks in high-end AI chips and data processing. "Real-time decision-making at the terminal requires high computing power and low power consumption, which domestic chips still lack. There is a large gap in high-quality physical interaction data, with collection costs about ten times that of regular data, requiring accumulation over millions of hours." Furthermore, Xu Di mentioned that some key technological routes are not yet converged, such as the technology selection for dexterous hands, deployment methods for end-point force control, and data acquisition solutions, which require further exploration and development. From an investment perspective, Xu Di believes that the capital enthusiasm in the humanoid industry in 2026 has cooled compared to 2025, with many projects lacking self-developed capabilities and real deployment capabilities likely to be gradually phased out in this adjustment phase. At the same time, the concentration of resources among leading companies will further increase, requiring massive funding to be continuously injected into the top players in the industry to support scenario adaptation and algorithm optimization. It is worth noting that in the process of sifting through the sand, new bottlenecks and small and beautiful tracks are gradually emerging. For example, data generation, data collection, core components or materials, and downstream supporting sectors derived from the humanoid industry (such as leasing platforms, entertainment and display service providers, etc.) may give rise to a new wave of innovative startups. This article is from "Cailianshe," edited by GMTEight: Li Fo.