松延动力人形机器人
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人形机器人,组团上春晚
Guan Cha Zhe Wang· 2026-02-16 09:29
2025年人形机器人首登春晚的惊艳亮相后,2026年马年春晚再度升级科技阵容,多家国产机器人企业携手登场,带来一场科技与年味交融的视觉盛宴。 据总台编务会议成员姜文波在春晚新闻发布会上透露,今年的具身机器人将在舞台上"舞"出全新高度。 据科技日报报道,经过一年的技术深耕,这些机器人在性能与艺术表达上完成迭代突破,将在武术、语言类节目中以集群化编队形式,精准呈现层次丰富 的队形变换与高难度动作表演。 作为春晚"熟面孔",宇树科技第三次登上春晚舞台,其G1/H1人形机器人将与舞蹈演员联袂演绎全新节目《骐骥新姿》。 首次亮相的魔法原子虽未公布具体节目详情,但将通过高动态双足人形机器人MagicbotZ1展现中国智造的多元布局,这款机器人近期成功完成360度托马 斯回旋、单手倒立、踢月腿等特技动作,还在2月4日的追觅之夜上,与四足机器人MagicDog组成"硅基伴舞天团",与歌手萧敬腾同台表演,现场展示了 360度转体等亮眼动作。 银河通用的春晚表现同样值得期待,其机器人将重点展现复杂场景下的自主决策与高效协作能力,打破预设程序的局限,以具备环境感知、即时反应能力 的"智能体"形象,传递"温暖服务"的科技理念。 据悉 ...
从“秀技能”到“真干活”:2025机器人商业化破冰进行时
Zhong Guo Zheng Quan Bao· 2025-08-10 23:58
Group 1 - The core sentiment at the 2025 World Robot Conference is the tangible application of robots in various scenarios, contrasting with previous years' focus on skill demonstrations [1][2] - Over 200 domestic and international robot companies participated, showcasing more than 1,500 robot products, marking a record for domestic robot exhibitions [2] - Companies are actively exploring the commercial application of robots in real-world scenarios, with significant orders reported, such as over 2,000 humanoid robots ordered by Songyan Power, primarily for the education sector [3][4] Group 2 - The current capabilities of robots are limited to specific tasks, with advancements needed in their "brain" capabilities to handle more complex scenarios [5][6] - The industry faces challenges such as insufficient "brain" development, limited application scenarios, and manufacturing precision issues, which hinder humanoid robot progress [6][8] - The development of a unified end-to-end model or general model is seen as essential for humanoid robots to advance to higher levels, with significant breakthroughs expected in the next 2 to 3 years [8][9] Group 3 - The industry is focusing on creating a closed loop of "data-model-scene validation" to accelerate the commercialization of robots and expand their application [8][9] - Companies are utilizing innovative approaches, such as combining physical simulation with synthetic data to enhance robot training and performance in real-world environments [9]