2025长三角（昆山）具身智能场景应用大赛开启报名通道

Core Viewpoint - The 2025 Yangtze River Delta (Kunshan) Embodied Intelligence Scene Application Competition aims to promote innovation and collaboration in the field of embodied intelligence, focusing on robotics, intelligent connected vehicles, and low-altitude aircraft [5][6]. Group 1: Competition Overview - The competition is organized by the China Software Testing Center and Kunshan High-tech Group, with support from various institutions including the Ministry of Industry and Information Technology [3][6]. - It will take place from July 31 to August 1, 2025, in Kunshan, Jiangsu Province, featuring three competition tracks: robotics, intelligent connected vehicles, and low-altitude aircraft [3][5]. - The registration period is from June 30, 2025, to July 20, 2025, with teams encouraged to participate [3][4]. Group 2: Competition Structure - The competition consists of three tracks: robotics, intelligent connected vehicles, and low-altitude aircraft, with a total of 13 events across various scenarios [8][11]. - The robotics track includes events in industrial manufacturing, logistics warehousing, commercial applications, and performance, with specific tasks such as warehouse inspection and robot soccer [11][12]. - The intelligent connected vehicles track covers events like unmanned transportation and automatic parking, while the low-altitude aircraft track includes scenarios for smart logistics and industrial inspection [12][13]. Group 3: Awards and Recognition - Each track will have separate rankings for events, with awards and certificates for top-performing teams [14][20]. - The total prize pool and specific award amounts are yet to be detailed [15][20]. Group 4: Participation and Registration - The competition invites domestic and international enterprises, universities, research institutions, and innovative teams related to embodied intelligence to participate [21][22]. - Registration can be completed through the official WeChat accounts of the China Software Testing Center and the Robot National Evaluation Center [22][25].