全国颠覆性技术创新大赛智能机器人锦标赛决赛在罗湖举办

Core Insights - The 2025 National Disruptive Technology Innovation Competition for Intelligent Robots successfully held its finals in Shenzhen, showcasing over thirty outstanding project teams and selecting twelve award-winning projects [1][4]. Group 1: Competition Overview - The competition attracted a total of 253 projects from across the country, covering the entire industrial chain of intelligent robotics, including perception, decision-making, driving, control, and complete machines [4]. - The final selection of projects was conducted by a panel of seven authoritative experts from various fields, evaluating projects based on multiple dimensions such as technological disruption, strong demand, and production feasibility [4][5]. Group 2: Innovation Highlights - Notable projects included one that achieved international leading standards in robot decision-making learning through an innovative framework and efficient data engine, and another project utilizing a new thin-film motor for flexible driving, recognized for its disruptive innovation potential [4][5]. Group 3: Industry Impact - The competition is seen as a catalyst for the rapid development of the intelligent robotics sector, forming a mechanism that connects academic frontiers, technological breakthroughs, capital empowerment, and industrial landing [7]. - Shenzhen, as a key city in the intelligent robotics industry, has made significant breakthroughs in intelligent manufacturing, AI algorithms, materials science, and core components, showcasing a vibrant innovation ecosystem [6][7]. Group 4: Support and Development - The competition has led to the introduction of substantial financial support, including a total of 40 billion yuan for "Disruptive Technology Loans" and 10 billion yuan for "Disruptive Technology Funds" to support projects with disruptive technology potential [7]. - The Luo Hu District plans to provide a closed-loop service for participating companies in the intelligent robotics sector, focusing on six core dimensions: space, finance, talent, scenarios, computing power, and capital [6].