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机器人又学了哪些新本领(经济聚焦)
Ren Min Ri Bao· 2025-08-10 22:20
Core Insights - The 2025 World Robot Conference held in Beijing showcased over 200 domestic and international robot companies, with more than 1,500 exhibits and over 100 new products launched, emphasizing the integration of robotics into various sectors [2][4][6] Industry Development - China's robot industry revenue grew by 27.8% year-on-year in the first half of the year, with industrial robots and service robots seeing production increases of 35.6% and 25.5% respectively, maintaining its position as the world's largest industrial robot market [6][10] - The country is projected to have a robot patent application volume accounting for two-thirds of the global total by 2024, indicating a strong focus on innovation and technology development in the robotics sector [4][5] Technological Innovation - The Beijing Humanoid Robot Innovation Center introduced several innovative technologies, including a multi-modal large model and an autonomous navigation system for humanoid robots, supporting the large-scale application of embodied intelligence [4][11] - Advanced humanoid robots are now capable of complex movements and tasks, with improvements in AI control algorithms leading to enhanced stability and responsiveness [5][11] Application Scenarios - Industrial robots are now applied across 71 major sectors of the national economy, with a significant increase in the density of robots in China's manufacturing industry, ranking third globally [11][12] - The conference highlighted diverse applications of robots in various fields, including industrial automation, scientific research, and service industries, showcasing their potential to transform traditional practices [9][10] Ecosystem Development - Beijing is establishing a comprehensive ecosystem for the robotics industry, with over 300 companies in the region and initiatives to support innovation and collaboration among various stakeholders [7][12] - The city plans to launch a social experiment program for embodied intelligence, creating a data pool for training models and enhancing the capabilities of humanoid robots [12][13]