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一批“00后”教机器人如何做“人”
Chang Jiang Ri Bao· 2025-12-23 02:43
21岁的张嘉是数聚变(武汉)科技有限公司项目负责人,负责湖北人形机器人创新中心 整个数据采集项目的管理及数据统计汇总。张嘉介绍,数据采集员如同机器人地"启蒙老 师",通过手把手的引导与海量数据积累,为机器人"大脑"的进化提供底层支撑。目前,团 队已采集超百万条环境交互数据,推动人形机器人从"小学阶段"向"大学水平"逐步迈进。未 来,这些机器人有望成长为能自主应对真实世界的智能助手。 数据采集员在操控机器人练习煮咖啡 在这里,一批"00后"机器人导师正引导着这些智能体成长。2004年出生的谢雨晴,今年 刚从武汉城市职业学院计算机与电子信息专业毕业,她与几名同学一起入职,成为机器人数 据采集员。根据任务要求,数据采集员每天操控机器人反复练习整理家务、调制饮料、超市 售货、分拣快递等一系列动作。机器人头、手部搭载的摄像头与传感器,全程记录动作轨 迹、环境交互等信息,生成大量具备泛化能力的训练数据。一个看似简单的动作,往往需要 数月、每天重复近百次,累计产生数千至上万条数据。每隔一段时间,采集员们还会在不同 场景中轮换,为机器人提供更全面的"教学"。 在位于武汉中国光谷数字经济产业园的湖北人形机器人创新中心内,上百台 ...
机械设备行业简评:创新成果亮相展会,机器人产业加速场景落地
Donghai Securities· 2025-08-15 05:36
Investment Rating - The industry investment rating is "Overweight" indicating that the industry index is expected to outperform the CSI 300 index by 10% or more in the next six months [23]. Core Insights - The robotics industry is experiencing significant growth driven by policy support, capital investment, and cross-industry collaboration, as evidenced by recent exhibitions showcasing over 200 new products [4][5]. - The Shanghai and Beijing governments have introduced initiatives to support the development of embodied intelligence and robotics, aiming for breakthroughs in core algorithms and technologies by 2027 [6]. - There is a growing trend of cross-industry collaboration, enhancing the ability to provide customized solutions for specific vertical demands, which is crucial for the commercialization of various robotic applications [7]. Summary by Sections Industry Dynamics - Recent industry exhibitions highlight the vitality of the robotics sector, with a focus on practical applications and the emergence of diverse robotic forms, including exoskeletons for healthcare [4][5]. - The robotics industry is expanding its scale, with a notable increase in the number of participating companies and innovative products showcased at major events [5]. Policy Support - The Shanghai implementation plan for embodied intelligence aims for at least 20 breakthroughs in core algorithms by 2027, with financial backing for model research and public platform development [6]. - Policies are increasingly focused on integrating technological advancements with real-world applications across various sectors, including logistics, manufacturing, and healthcare [6]. Cross-Industry Collaboration - The trend of cross-industry partnerships is becoming more pronounced, with companies collaborating to address specific operational challenges, thereby enhancing the likelihood of successful commercialization [7]. - Examples include logistics robots developed in partnership with traditional industries, showcasing the potential for tailored solutions that meet specific operational needs [7]. Component Manufacturers - Component manufacturers are expanding their product offerings to include integrated solutions that combine driving, transmission, and control systems, enhancing their competitive edge [10]. - The market for flexible and customized components is growing, with manufacturers responding to diverse customer needs and optimizing product performance and cost [10]. Focus on Healthcare Applications - There is a strong demand for robotic solutions in the healthcare sector, particularly for exoskeletons that assist the elderly and improve their mobility [16]. - Companies are launching consumer-grade exoskeletons aimed at enhancing daily activities and outdoor mobility for older adults, indicating a potential market expansion [16][17].