快讯|智元机器人获富临精工数千万元订单；90后中科大博士造机器人，再获数亿元融资；具身智能机器人发展十大趋势发布等

Group 1 - Zhiyuan Robotics has secured a multi-million yuan order from Fulian Precision Engineering, marking the first large-scale commercial contract for embodied robots in the industrial sector in China [3] - The order includes nearly 100 units of the Yuanzheng A2-W robots, which will be deployed in Fulian's factory, a leading company in the automotive parts sector [3] - In July, Zhiyuan Robotics also won a humanoid biped robot contract from China Mobile (Hangzhou) with a total budget of 124.05 million yuan, making it the largest single procurement in the domestic humanoid robot field [3] Group 2 - Lingdong General Robotics has completed a multi-hundred million yuan angel round financing, led by Yuanhe Puhua, to accelerate the development and industrialization of its embodied VLA large model and general-purpose robots [6] - The company focuses on creating highly generalized embodied large models and robust robot bodies, utilizing a fully self-developed architecture [6] Group 3 - The World Robot Cooperation Organization released the "2025 Trends in Embodied Intelligent Robotics," highlighting ten key trends including the development of large factories for embodied intelligent robots and the creation of large-scale high-quality datasets [9] - Key trends include the integration of physical practice and simulation, multi-modal large models for decision-making, and the establishment of open-source communities for embodied intelligent robotics [9] Group 4 - The world's first humanoid robot sports event will take place in Beijing on August 14, featuring 26 competitions that challenge robots in traditional human sports [12] - Events will include running, high jump, long jump, gymnastics, and team sports, as well as practical applications like factory material handling and hospital medication sorting [12] Group 5 - A Harvard University research team has developed a personalized wearable robot control system that significantly improves upper limb function for stroke and ALS patients, as published in Nature Communications [15] - The innovation lies in the integration of intent recognition models with physical lag models for adaptive control, enhancing the effectiveness of inflatable soft exoskeletons [15]