Xin Hua Ri Bao·2025-07-07 02:03Core Viewpoint - The article highlights the rapid development and application of embodied intelligent robots in various industrial settings in Jiangsu Province, showcasing their potential to enhance productivity and replace human labor in hazardous environments [1][2][3]. Group 1: Industry Development - Jiangsu Province has released a list of ten typical application scenarios for embodied intelligent robots, indicating a significant industrial transformation [1]. - The number of robot-related enterprises is projected to increase from 451,700 by the end of 2024 to 891,000 by May 2025, nearly doubling [4]. - The industry is characterized by a focus on specific industrial applications, with over a hundred companies competing in the humanoid robot market [4]. Group 2: Technological Advancements - Micro Yi Intelligent's "ChuangTron" robot can complete a full quality inspection of an electric drive stator in just 50 seconds, achieving six times the efficiency of human workers [2]. - Tian Chuang's "Tian Kui 1" is the world's first certified explosion-proof humanoid robot, capable of operating in hazardous environments [3]. - The development of flexible manufacturing systems is emphasized, allowing robots to adapt to various market demands and improve competitiveness [3]. Group 3: Application Scenarios - Magic Atom has initiated a "Thousand Scenes Co-Creation" plan to collaborate with 1,000 partners to implement 1,000 specific scenarios, with over 50 companies already signed up [6]. - The introduction of a second-generation humanoid robot by Tian Chuang aims to enhance obstacle-crossing capabilities in emergency rescue situations [6]. - The establishment of a training center in Suzhou for intelligent robots aims to improve the quality of data through practical scenario training [6]. Group 4: Market Trends - The humanoid robot sector is becoming a focal point for capital markets, with significant interest in the technology's potential [7]. - The industry faces challenges related to public perception and understanding of embodied intelligent robot technology, which requires extensive time and data support for development [7].