（原标题：具身智能持续"吸金"，无界动力获3亿元新融资｜21投融资周报） 一句话趋势：科技与制造及医疗健康领域融资活跃度持续居前，人工智能、半导体与生物医药赛道持续获资本密集布局。 过去一周，科技与制造行业仍是资本投入的主力方向，融资事件数量显著领先。 诸多赛道中，人工智能、机器人、半导体与高端制造领域表现突出，其中无界动力完成3亿元天使轮融资，上海云脉芯联获超5亿元A轮投资，凸 显资本对具身智能、算力芯片与高端制造技术落地的高度关注。 此外，广东巨风半导体、青虹激光等企业也完成大额融资，进一步印证硬科技赛道在当前的吸金能力。 医疗健康领域同样频现大额融资，深圳康诺思腾完成约2亿美元超募融资，熙源安健获超2亿元A轮投资，显示出资本市场对手术机器人、创新药 物与疼痛管理领域的持续看好。 智耀生物、安道药业等企业也推进了产品临床与研发进程，强化了生物医药作为资本重点布局的另一主线。整体来看，科技与医疗仍是当前投融 资市场中并行的两大核心赛道。 21创投不完全统计11月10日—11月16日，报告日期内国内一级市场发生融资事件41起。其中，有31笔融资披露了融资金额和币种信息，总规模约 合人民币60.5亿元人民币。 ...

Core Insights - The embodied intelligence sector is experiencing unprecedented investment and interest, with discussions on whether there is a bubble and which applications will mature first [1][3] Investment Landscape - The current investment scale in embodied intelligence is significantly lower than that in the smart automotive sector, indicating potential for growth once scalable commercial applications are identified [3][4] - Companies believe that more capital is needed to bridge the financing gap between domestic and international players, with domestic leading companies operating at a scale of tens of billions of RMB compared to tens of billions of USD for their US counterparts [3][4] Market Applications - B-end applications are seen as the most suitable for initial deployment, particularly in areas like logistics, quality inspection, and manufacturing processes [6][7] - The industry is exploring various strategies, including the replacement of human labor in hard-to-fill positions, with a gradual expansion into more complex scenarios over the next few years [6][7] Technological Development - The VLA (Vision, Language, Action) model is considered a key framework for the future of robotics, with ongoing improvements in data collection and model training methodologies [7][8] - The industry is moving towards a unified model paradigm, emphasizing the importance of integrating visual, linguistic, and action capabilities in robotic systems [8] Competitive Landscape - The embodied intelligence sector is expected to evolve similarly to the smartphone and automotive industries, with a diverse range of players including hardware manufacturers and AI developers [9][10] - The market is anticipated to consolidate into a limited number of major players, with a focus on maintaining technological barriers and establishing closed-loop commercial applications [10][11]