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NewsMaterial4 min readDisconfirmAI Editorial

Liu Xin, Founder of Boya Intelligence: Dexterity Hands Sold 20,000 Units, Mostly Gathering Dust; Model Capabilities May Reach an Inflection Point Before Hardware

In an interview, Liu Xin, founder of Boya Intelligence (China), pointed out a structural gap in the dexterity hand industry between low-degree-of-freedom products used for 'performance' and high-degree-of-freedom products intended for 'scientific research.' He argued that the industry needs to open up a third market that brings scientific-grade operational capabilities into practical applications at an acceptable cost. He believes that model capabilities may break through before hardware reliability does; when that happens, the limitation on robot deployment will no longer be the AI brain, but rather the durability and strength of the hands.

2026-10-30 15:13 GMT+8

The publicly verifiable shipment volume of dexterity hands in the industry last year was approximately 20,000 units. However, Liu Xin, founder of Boya Intelligence (China), observed that most of these dexterity hands end up performing with humanoid robots for a few shows and then being left gathering dust in corners. In his view, current products are polarized: low-degree-of-freedom dexterity hands are cheap and durable, costing only a few thousand yuan, but their operational capabilities are very limited, primarily used for humanoid robot performances; high-degree-of-freedom products offer better operational capabilities, with mainstream prices exceeding 100,000 yuan, but their lifespan may be only one or two weeks, or at most one or two months. They are often purchased and kept as ornaments because users dare not use them, breaking down after just one week to two or three months of use.

Liu Xin believes the industry needs to create a 'third market': bringing scientific-grade operational capabilities into practical applications at an acceptable cost to solve problems that past automation equipment could not handle. He cited a specific example—some small factories near Shenzhen need to inspect parts under high-magnification electron microscopes after production, flipping each side of every part. Traditional grippers certainly cannot perform such tasks. Yet such products do not exist today; the most advanced and high-end dexterity hands on the market still fall far short of human hand capabilities.

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The technical premise supporting this judgment is the core contradiction in dexterity hand design: it must pack mechanical structures, motors, circuits, and sensors into extremely limited space while ensuring sufficient force and power density. The thinner the fingers, the more easily structural strength and load-bearing capacity are constrained; joint connection points may bear forces of only a few hundred grams to about one kilogram, leading to fractures after continuous use for a week. To make the hand small, gear modules must be small, making teeth smaller and requiring higher machining precision. At today's material and process levels, wear, deformation, or even fracture occur easily. A human thumb can exert ten kilograms of force, whereas mainstream nominal force ratings for dexterity hand thumbs are currently one kilogram, with higher-end models reaching two kilograms. However, there is a discrepancy between nominal force and actual applied force.

From this, Liu Xin proposed a timeline judgment different from the industry mainstream: models may reach an inflection point in capability before hardware does. He believes that given the current iteration speed of AI and models, an inflection point in capability may arrive sooner. At that time, people will realize that models are already highly capable, but there is no sufficiently reliable hardware to support those capabilities. He mentioned a recent event attracting attention in the industry: GPT-6 can now operate dexterity hands. This indicates that common sense and cognitive abilities accumulated during the pre-training phase of large models are extending into the physical world. Ultimately, what holds things back may be the body, not the mind.

Regarding technical routes, Liu Xin believes that current leading direct-drive dexterity hands have approached physical limits, making significant improvements difficult over the next one to two years, or even two to three years. Meanwhile, cable-driven technical architectures still have substantial room for performance improvement. His analogy is biological evolution: when humans pinch lightly, fine control is mainly achieved by small muscles like the lumbricals and intrinsic hand muscles; when lifting heavy objects with force, the real power comes from arm muscles. Biology typically separates strength and dexterity to balance both: structures closer to the extremities are finer, favoring fine control, while muscles closer to the root are thicker, suitable for providing power. Boya's first dexterity hand, Gaoshan S1, has 22 degrees of freedom and adopts a hybrid drive system primarily based on cables, supplemented by gear direct drive and lead screw linkages. Liu Xin stated they are the world's first company to combine cable drive with lead screws and a wrist configuration in a dexterity hand.

It should be noted that the above judgments all come from self-statements by Liu Xin, founder of Boya Intelligence (China). The figure of 20,000 shipped units is public data he cited; the observation that 'they gather dust after performing' is his personal assessment; the claim of being the 'world's first' is a company self-statement unverified by independent third parties; and judgments such as cable drives overtaking later or direct drives approaching physical limits currently lack comparable public test data. Liu Xin also admitted that reliability is not yet the most critical issue for the industry at this stage; at least durability of three to six months must be strived for. The current industry mainstream warranty period may be six months, with very few daring to promise more than one year. Often, this six-month warranty is supported by setting aside a large reserve fund in advance.

Sources

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