人民日报海外版记者 陈静文 2024年，我国工业机器人市场销量达30.2万套，连续12年保持全球最大工业机器人市场。应用场景 方面，工业机器人已应用于国民经济71个行业大类、236个行业中类，制造业机器人密度已跃升至全球 第三位。 我国工业领域中的机器人大致可以分为3类：出现最早且长盛不衰的，是本地化控制可编程机器 人，以工业机械臂为主要形态，需要环境适应它；进入21世纪之后蓬勃发展的，是具备一定感知和决策 能力的自适应机器人，和环境互相适应；近年来相关研发方兴未艾的，则是具身智能人形机器人，它们 将脱离专门设计的自动化集成流水线，自主适应工厂环境并执行更多任务。 提到机器人，你想到的是不是能送餐、会跳舞的人形机器人，或是会摇首摆尾的机器狗？其实，机 器人家族中还有一类诞生更早、应用更广泛的重要成员——工业机器人。 8月8日至12日，2025世界机器人大会在北京经济技术开发区举行。期间，200余家国内外优秀机器 人企业的1500余件展品竞相亮相。工业机器人有了哪些新技术、新场景，存在哪些新问题、新方案？记 者对大会参展商和论坛嘉宾进行了采访。 日前，在黑龙江哈尔滨东安汽车动力股份有限公司生产车间，工业机器人在 ...

Core Insights - In 2024, China's industrial robot market reached a sales volume of 302,000 units, maintaining its position as the largest industrial robot market globally for 12 consecutive years [3] - Industrial robots are now applied across 71 major industries and 236 sub-industries in the national economy, with the density of robots in manufacturing rising to the third highest globally [3] - The 2025 World Robot Conference showcased over 1,500 exhibits from more than 200 domestic and international robot companies, highlighting new technologies and applications in industrial robots [3][4] Group 1: Industrial Robot Types and Applications - Industrial robots can be categorized into three main types: programmable robots, adaptive robots with perception and decision-making capabilities, and humanoid robots with embodied intelligence [3] - The most widely used industrial robots in manufacturing are mechanical arms, which are characterized by their programmable, automated, and multi-degree-of-freedom structures [5] - In logistics and warehousing, customizable mechanical arms are capable of efficiently handling and stacking goods, demonstrating high adaptability to various tasks [6] Group 2: Technological Advancements - The development of adaptive robots has been accelerated by advancements in computer vision and sensor technology, allowing robots to navigate complex environments and perform specific tasks autonomously [8] - AI-powered industrial cleaning robots are being deployed in various factories, utilizing AI vision systems to adapt cleaning strategies based on the type of dirt detected [9][10] - The integration of AI technology in industrial robots has significantly improved inspection efficiency and accuracy, with some systems achieving over 99.5% accuracy in detecting defects [10] Group 3: Future Trends and Challenges - The global installed base of industrial robots has increased sevenfold from 2009 to 2024, indicating a strong growth trajectory in industrial applications [12] - Experts emphasize the need for continuous iteration of industrial robots to expand their application scenarios beyond current limitations [12] - The future of industrial robots is expected to be shaped by trends such as artificial intelligence, embodied robots, sustainability demands, new customer segments, and addressing labor shortages [14]

Core Insights - In 2024, China's industrial robot market reached a sales volume of 302,000 units, maintaining its position as the largest industrial robot market globally for 12 consecutive years [2] - Industrial robots are now applied across 71 major industries and 236 sub-industries in the national economy, with the density of robots in manufacturing rising to the third highest globally [2] - The 2025 World Robot Conference showcased over 1,500 exhibits from more than 200 domestic and international robot companies, highlighting new technologies and applications in industrial robots [2][3] Group 1: Industrial Robot Types and Applications - Industrial robots can be categorized into three main types: programmable robots, adaptive robots with perception and decision-making capabilities, and humanoid robots with embodied intelligence [2] - The most widely used industrial robots in manufacturing are mechanical arms, which are characterized by their programmable, automated, and multi-degree-of-freedom structures [4] - In logistics and warehousing, customizable mechanical arms are capable of efficiently handling and stacking goods, demonstrating high adaptability to various tasks [5] Group 2: Technological Advancements - The development of adaptive robots has been accelerated by advancements in computer vision and sensor technology, allowing robots to navigate complex environments and perform specific tasks autonomously [7] - AI-powered industrial cleaning robots are being deployed across various factories, utilizing AI vision systems to adapt cleaning strategies based on the type of dirt detected [8][9] - The integration of AI in industrial robots enhances their efficiency and accuracy, as seen in the AI vision detection systems that can inspect components with over 99.5% accuracy [9] Group 3: Future Trends and Challenges - The global installed base of industrial robots has increased sevenfold from 2009 to 2024, indicating a strong growth trajectory in industrial applications [11] - Experts emphasize the need for continuous iteration of industrial robots, particularly in the realm of AI, to overcome current limitations and expand their application scenarios [11][12] - The future of industrial robots is expected to be shaped by trends such as artificial intelligence, embodied robots, sustainability demands, new customer segments, and addressing labor shortages [12]