拓斯达全球研发总部基地正式启用 迈向智能装备新纪元

Core Insights - The 2025 World Robot Conference highlights the strategic value of embodied intelligence, with the company, Tuosida, focusing on this field through the establishment of a global R&D headquarters [1][5] - Tuosida's recent strategic transformation involves a shift towards product-focused business, reducing low-margin project-based operations, and increasing the proportion of product business [2][5] Group 1: Business Transformation - Tuosida has actively reduced project-based business by 54.22% while increasing product business by over 15% year-on-year, leading to continuous growth in shipment and order volumes [2] - The company has achieved significant growth in its multi-joint robots, with over 2,000 units shipped and a revenue increase of 76.04% year-on-year [2] - The global R&D headquarters is equipped with high-standard laboratories, enhancing the company's technological innovation and sustainable development [2][6] Group 2: Product Development and Achievements - In Q1 2025, Tuosida's industrial robot revenue grew by 23.81%, with strong order backlogs and successful customer expansion [3] - The company showcased a new generation of intelligent robot control platforms at the Huawei Developer Conference, marking a significant advancement in integrating AI with robotics [3][6] - Tuosida's dual-arm robots demonstrated industry-leading performance in precision and responsiveness during a collaborative test with the China Industrial Internet Research Institute [3] Group 3: Market Opportunities and Future Outlook - The rapid development of embodied intelligence is expected to drive innovation in robotics and industrial upgrades, with government policies supporting the growth of a trillion-yuan industry by 2027 [5] - Tuosida is positioned as one of the few companies with a full industry chain layout in robotics, leveraging its expertise in control technology to enhance embodied intelligence applications [5][6] - The company aims to create a multi-dimensional driving system combining scenarios, data, and AI, facilitating the evolution of robots from mere execution to intelligent decision-making [6][7]