灵巧手成为中国人形机器人落地的瓶颈
Robotic Hands Become the Bottleneck for China’s Humanoid Push
- 1灵巧手是人形机器人最难一环,文章认为这正是爆红演示尚未转化为工厂有偿劳动的原因。
- 2行业估计去年全球人形机器人装机量在数万台低位,其中能持续做生产性工作的占比被认为小得多。
- 3行业统计称今年上半年中国企业占全球人形机器人整机出货绝大多数,物料成本随零部件国产化下降。
- 4银行研究预测,若规模化与设计学习持续,典型国产人形机器人零部件成本到本十年末可降约一半。
中国人形机器人的量产优势已在整机端兑现,但商业化卡在灵巧手与具身软件,比拼正从演示转向产线实用。
- 影响:制造与物流企业当下可用的场景仍限于推车、搬运大件和脚本化动作;灵巧手与控制软件的进展决定任务能否扩到工具、紧固件和线缆;零部件成本下行有望继续压低整机采购价。
- 参考:可考虑先在推运和脚本化环节试点并积累交互数据,把灵巧操作场景留给下一代产品;采购前值得盘点各家灵巧手方案与产能,并跟踪零部件成本曲线择机下单。
- 依据:装机量与出货占比为行业统计口径,高端灵巧手份额引自贸易报道转述的独立研究,成本减半为银行研究预测,均非厂商官方验证。
NextFin News — The hardest part of a humanoid remains the hand. A human palm and fingers combine bone, joint and soft tissue into grips that range from a firm clamp to a light pinch. Metal and polymer replicas still lag. That gap helps explain why viral routines and timed sprints have not yet produced large numbers of machines doing paid labor on Chinese factory floors.
Industry estimates put global humanoid installations last year in the low tens of thousands. The share performing sustained productive work is widely believed to be much smaller. Without reliable hands, robots are confined to pushing carts, moving large rigid parts or repeating scripted motions. With better hands, the task set expands toward tools, fasteners, cables and the messy variety of assembly and logistics.
Chinese suppliers have moved early into that niche. LinkerBot, a Beijing-based specialist in dexterous manipulators, has become a frequent reference among integrators. Independent research cited in trade coverage attributes to it a large share of high-end robotic hands already deployed, and the company has discussed raising monthly output as orders rise. Customers span consumer electronics, technology platforms and industrial automation.
Hardware strength extends across the full body. Chinese firms accounted for the overwhelming majority of global humanoid unit shipments in the first half of this year, according to industry tallies. The advantage rests on dense clusters of mechanical engineers, component makers shaped by the electric-vehicle boom, and a policy environment that has treated intelligent robots as a priority manufacturing category. Motors, reducers, sensors and structural parts that once relied on imports are increasingly sourced at home. Bill-of-materials costs for domestically assembled humanoids have continued to fall, reinforcing volume ambitions.
Capital markets have amplified both the boom and the caution. High-profile listings drew intense first-day demand and later valuation compression as investors questioned how quickly demos convert into recurring revenue. Planning authorities have also warned against indiscriminate entry into the category. The same enthusiasm, however, has funded rapid iteration inside plants. Automakers, electronics manufacturers and logistics operators are putting early machines on lines not only to cut labor in narrow tasks but to generate the interaction data needed for better control software.

Software remains the harder climb. Embodied AI—the models that map perception to action in unstructured settings—still trails the maturity of the mechanical stack. Newer Chinese firms are racing to close that gap by collecting factory telemetry, training world models and selling integrated packages of hardware plus control software. Training philosophy itself is becoming a competitive axis. Some groups emphasize industrial data from assembly and warehousing. Others capture high-skill human demonstrations—precise knife work, instrument playing, fine tool use—on the theory that rare dexterity transfers better than average factory motion. Neither approach has yet delivered a general-purpose system that replaces broad categories of human labor.
Cost trajectories keep the pressure on. Bank research has projected that component costs for a typical Chinese-made humanoid could fall by roughly half toward the end of the decade if scale and design learning continue. Long-range forecasts of very large markets assume aging workforces and steady gains in autonomy. Those forecasts remain sensitive to one stubborn variable: whether manipulators can handle the small, irregular and force-sensitive objects that define most paid physical work.
For China’s humanoid sector, the near-term contest is therefore practical rather than theatrical. Production capacity for bodies and hands is expanding. Factories are becoming the primary classroom. The companies that turn dexterous hardware and improving software into machines employers keep after the demonstration ends—because they can pick up a screw, a connector or a soft pouch and place it correctly—will set the pace of commercial adoption. The rest will remain impressive on stage and idle on the line.
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来源:钛媒体 · tmtpost.com