BEGIN:VCARD VERSION:4.0 ORG:Flexiv Robotics 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 EMAIL: TEL;WORK;VOICE:(650) 440-7808 TEL;WORK;FAX: ADR;WORK:;;4500 Great America Parkway Suite 210;Santa Clara;CA;95054 United States URL;WORK:www.flexiv.com NOTE:Robotics\n\nFlexiv Ltd.是一个全球领先机器人和AI公司,侧重于开发并制造自适应机器人,整合武力控制、计算机视觉和AI技术Flexiv向多行业客户提供基于Flexiv机器人系统的创新统包解决方案和服务主程序集成插接并曲面处理公司启动时间为2016年,核心创建团队来自斯坦福大学机器人实验室和AI实验室Flexiv今日在圣克拉拉、上海、深圳、北京和佛山都建办事处end:VCARD