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因时机器人蔡颖鹏:传统机器人部署成本高ROI过低,工业场景呼吁“一机多能”的聚身机器人
Xin Lang Cai Jing· 2025-12-10 07:53
专题:2025《中国企业家》影响力企业家年会 12月5日-7日,由《中国企业家》杂志社主办的"2025(第二十三届)《中国企业家》影响力企业家年 会"(原中国企业领袖年会)在北京举行,主题为"涌现·无限——共创智能商业新形态"。北京因时机器 人科技有限公司CEO蔡颖鹏出席并演讲。 他谈到,传统机器人的部署成本是非常高的,导致它的ROI不合适。在这些终端用户场景中,聚身机器 人是一个非常大的需求,能够通过简易的部署、快速的掌握各种各样不同的操作技能。 "换句话说,就是'一机多能'这样的作业需求。"因此,蔡颖鹏认为,在工业的终端场景中,聚身机器人 将有非常大的价值。 新浪声明:所有会议实录均为现场速记整理,未经演讲者审阅,新浪网登载此文出于传递更多信息之目 的,并不意味着赞同其观点或证实其描述。 责任编辑:李昂 专题:2025《中国企业家》影响力企业家年会 12月5日-7日,由《中国企业家》杂志社主办的"2025(第二十三届)《中国企业家》影响力企业家年 会"(原中国企业领袖年会)在北京举行,主题为"涌现·无限——共创智能商业新形态"。北京因时机器 人科技有限公司CEO蔡颖鹏出席并演讲。 谈及目前的需求及现象,蔡 ...
从 “单一” 到 “变形金刚”:机器人分时变角色|2025世界机器人大会
Guang Zhou Ri Bao· 2025-08-09 14:12
Core Insights - The 2025 World Robot Conference is showcasing innovative advancements in the service robotics industry, particularly through Yunji Technology's "YUNI'S HAPPYLAND" theme park exhibit, which highlights the collaborative capabilities of AI agents in elevating the service robot sector to a new level [1] Group 1: Product Innovation - Yunji Technology's UP robot breaks the limitations of traditional service robots by utilizing a modular design that allows for flexible functionality, enabling a single robot to perform multiple roles such as delivery, cleaning, and patrolling [1] - The UP robot's universal chassis can adapt to various functional modules, significantly enhancing operational efficiency through "time-sharing reuse" in different scenarios, such as hotels [1] Group 2: Intelligent Coordination - The UP robot features advanced multi-robot intelligent scheduling, forming a "robot service legion" that collaborates autonomously, optimizing task distribution based on real-time analysis of task priorities [2] - The AI system, HDOS (Hospitality Digital Operation System), allows multiple UP robots to work together seamlessly, enhancing service capabilities in complex environments like hotels, hospitals, and factories [2] Group 3: Enhanced AI Capabilities - The UP robot is equipped with a powerful "off-body intelligent" brain, enabling proactive service capabilities through demand prediction, allowing it to respond to guest needs without waiting for explicit instructions [2] - This "demand-driven" intelligence transforms the UP robot from a mere execution tool into an operational decision-making partner, improving service response times and reducing complaint rates in hospitality settings [2]