盘核桃、叠衣服、包饺子、打咖啡、变魔术……这些高难度动作，背后除了精准的感知与决策算法，更离不 开作为核心执行单元的机械臂。如果说具身智能大模型决定了机器人的"决策"能力，机械臂的精度、自由度、负 载能力、耐久性，则决定了机器人能否在真实场景中完成有实际价值的任务。因此，机械臂已成为人形机器人的 重要基础设施之一。据了解，本次从央视到地方卫视的春晚舞台上，共有至少5家登台亮相的机器人企业，采用 了来自睿尔曼的超轻量仿人机械臂。 相较于笨重且功能单一的传统机械臂，超轻量仿人机械臂是人形机器人融入生活场景，真正做到"能干活"的 前提。一方面，这种设计能够复刻人手的运动轨迹与操作逻辑，无需改造场景即可适配橱柜、操作台等日常居家 环境；另一方面，人形机器人的整机负载、续航能力均有明确上限，超轻量设计既能为末端作业预留充足的负载 冗余，也能降低家庭场景的碰撞安全风险、减少整机功耗，是机器人实现长时间、多场景实用作业的硬性基础。 凭借在超轻量仿人机械臂和一体化关节领域的长期技术积累，睿尔曼正为整个具身智能产业提供底层支撑。 其自研的一体化关节模组年产能已突破10万台，机械臂已通过CR L3级别认证，MTBF（平均无故障时 ...

Core Viewpoint - The article discusses the current state and future potential of humanoid robots in China, highlighting the gap between public perception and technological reality, as well as the diverse strategies adopted by leading companies in the industry [2][3]. Group 1: Industry Development - The humanoid robot industry in China has significant milestones, such as the 2025 Spring Festival Gala performance and the recent Beijing Yizhuang Marathon, which showcased the capabilities and limitations of humanoid robots [2][3]. - A field study of nine leading companies in Shenzhen revealed a lack of consensus on technology routes and application scenarios, indicating a transitional phase from laboratory to industrialization [3]. Group 2: Key Divergence Points - The industry faces several critical questions, including whether humanoid robots need legs, faces, and how they perceive the environment [4][12][17]. - Companies are divided into "bipedal" and "wheeled" factions, with each focusing on different capabilities and applications based on their technological strengths [6][7]. Group 3: Technical Challenges - Bipedal robots face significant technical challenges, including the need for complex joint coordination and energy consumption, while wheeled robots are more stable and cost-effective for industrial applications [7][8]. - The perception and interaction capabilities of humanoid robots vary, with some companies prioritizing industrial functionality over human-like features to avoid ethical concerns [13][14]. Group 4: Data and Training - The competition in the humanoid robot industry is increasingly centered around data acquisition for training AI models, with companies employing various strategies to gather real, simulated, and internet data [28][29]. - Companies like Digital Huaxia are investing in data collection centers to create realistic training environments, while others focus on simulation data to reduce costs and accelerate learning [28][30]. Group 5: Market Applications - Humanoid robots are being explored for various applications, including industrial manufacturing, logistics, retail, and education, but the timeline for widespread adoption remains uncertain [33][34]. - The industry is currently prioritizing standardized industrial applications before moving into more complex environments like homes [34][35]. Group 6: Commercialization Challenges - The humanoid robot sector struggles with finding clear commercialization paths, with many companies still reliant on investment rather than sustainable revenue [36][38]. - The transition to mass production is hindered by inconsistent product performance and the need for precise hardware and software integration [40]. Group 7: Public Perception and Future Outlook - Events like the Yizhuang Marathon have sparked debate about the viability of humanoid robots, with some viewing the failures as indicative of a bubble in the industry [42][43]. - Despite challenges, there is a recognition of the progress made in humanoid robotics, and industry insiders advocate for a balanced view that acknowledges both the potential and current limitations of the technology [43].