WAIC highlights | The extremely intelligent Siasun Robot & Automation team, with both generalization capabilities and operational efficiency.
Robots appearing at WAIC is not uncommon, but exhibiting both the ability to generalize multiple SKUs in real working scenarios and end-to-end operational efficiency is unique to JizhiJia.
It is not uncommon for Siasun Robot&Automation to appear at WAIC, but what makes it unique is its ability to simultaneously demonstrate the generalized ability to handle multiple SKUs in a real working environment along with end-to-end operational efficiency. At the WAIC exhibition, JiZhiJia (02590) replicated a real work scene on its booth, where the humanoid Siasun Robot&Automation Gino 1 could both lift boxes and pick items, and collaborate with mobile Siasun Robot&Automation to ensure stable operation of the picking workflow, showcasing a few intelligent overall solutions that can be directly implemented in the physical AI era.
Teamwork of humanoid Siasun Robot&Automation Gino 1: Efficiency is paramount and ready for deployment at any time
The first public appearance of the general-purpose humanoid Siasun Robot&Automation Gino 1 was the most eye-catching "star" at the booth that day. Its attraction was not based on appearance but on its ability to work efficiently. At the exhibition, Gino 1 was able to accurately grab items from bins, lift and transport bins, and even form teams with mobile Siasun Robot&Automation to run through the entire picking process end-to-end. This is one of the few complete intelligent solutions that can be directly deployed in real applications.
Efficiency was the most intuitive feeling at the scene. Traditional Siasun Robot&Automation usually "grab, then turn, then move, then lift". In contrast, Gino 1 achieved full-body parallel control of hands and feet - while moving and turning, the arm had already started adjusting the height of items and aligning them with the target grid. According to technical personnel at the booth, this full-body parallel control reduced the single task operation time by about 30%. Throughout the continuous demonstrations, Gino 1's movements were always smooth and accurate without any stuttering or dropping, leaving a lasting impression with its stability.
Moreover, Gino 1 did not work alone. Through JiZhiJia's AI intelligent scheduling system, it could collaborate with mobile Siasun Robot&Automation and dedicated workstations to form teams and complete the entire process of picking and delivery through unmanned operations. What users receive is not the local efficiency of a single machine, but the system efficiency of an entire workflow. This is the true meaning of intelligent productivity.
Exceptionally skilled at "picking": Broad experience and adept problem-solving
"Picking" is the first threshold that Siasun Robot&Automation must overcome when entering the real world to work. Products in warehouses are constantly changing, and the state of bins is different each time - stacking, obstructing, sticking to the edge, tilting, and even suddenly moving. Every time a hand reaches out, it faces a completely new physical state. Essentially, "picking" is an open-world operational intelligence problem that combines visual, physical, strategic, and fault-tolerant aspects.
It is evident that JiZhiJia has mastered this challenge. Witnessing Gino 1's cross-category generalization ability at the scene, the robot dynamically adjusted its grip position and force when faced with differently inflated bagged potato chips, accurately identified the main object and bag edge of transparent packaged bread without being disrupted by the transparency film, pinpointed stable gripping points for fuzzy-edged plush toys, and maintained reliable clamping of small and smooth rubber bowls through force feedback, just right. From hard boxes to soft bags, from transparent packaging to deformable objects, Gino 1 seems to have seen enough of the world to grab whatever it sees with precision.
What impressed onlookers even more was its dynamic adaptability. The exhibition booth featured various extreme interference tests: when a staff member suddenly threw a different item into the bin, Gino 1 almost instantly reinterpreted the scene, avoided non-target objects, and continued its current task; when someone repeatedly moved the target item, the robotic arm continued to track the position, adjust the arm trajectory in real-time until it firmly grasped the object; and most impressively, when a tiny item was tightly wedged in a corner of the bin, making it impossible to grab using conventional methods, Gino 1 independently changed its strategy - first, it reached out the end to create a space by "scraping" the item from the edge, then successfully completed the grab. Solving corner cases by itself is something that pre-programmed Siasun Robot&Automation cannot do, supported by an intelligent brain capable of deducing physical consequences and autonomously adjusting movements.
The "real work, self-evolving" embodied intelligence, seen to believe
Facing real products, real interference, and real continuous operating pressures, Gino 1 continued to run autonomously based on its perception, reasoning, and decision-making. This ability to continuously evolve through experience in real operations and become stronger from use is what JiZhiJia refers to as "self-evolution" - every success and failure feedback into the model, making the brain smarter over time.
While others are still using concepts to describe the future, JiZhiJia has already put the future on the booth and let it start "real work".
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