自2025年6月官宣进军Robotaxi领域以来，哈啰集团携手蚂蚁集团和宁德时代（300750），基于各自技 术和资源优势，合作研发L4级自动驾驶技术。依托蚂蚁集团在大模型、具身智能等AI基础技术领域的 积累，以及宁德时代在智能滑板底盘与动力电池方面的领先能力，哈啰Robotaxi将聚焦L4级自动驾驶技 术的研发迭代与商业化落地，已构建起覆盖技术研发、车辆制造与平台运营的全链路能力体系；康福德 高则拥有全球规模领先的国际出租车网络，并在新加坡、广州等地积累了丰富的自动驾驶车队管理与商 业化运营经验。 经济观察网 11月25日，在第十五届新加坡—广东合作理事会会议上，哈啰集团旗下造父智能科技有限 公司（哈啰Robotaxi）与国际顶尖综合交通运营商康福德高集团旗下子公司——康福德高中国正式签署 合作备忘录，宣布建立战略合作伙伴关系。合作双方将围绕自动驾驶技术的商业化落地与全球化布局展 开深度合作，共同打造安全、高效、可持续的未来出行新生态。 根据合作规划，哈啰Robotaxi的L4级自动驾驶技术将直接赋能康福德高覆盖全球的点对点出行服务网 络，双方将共同打造一个创新的智能调度平台，让传统出租车和Robotaxi ...

Core Viewpoint - Sichuan Mingstar Power Co., Ltd. has signed a cooperation framework agreement with Tsinghua Sichuan Energy Internet Research Institute to enhance collaboration in energy technology and innovation [2][3][15] Group 1: Agreement Overview - The cooperation agreement is a framework agreement, and specific projects will be determined later, without requiring board or shareholder approval [2][3] - The agreement aims to establish a solid partnership based on mutual benefits, focusing on accelerating the transformation and application of scientific research results [6][15] - The agreement is effective for five years from the date of signing [13] Group 2: Cooperation Objectives - The collaboration aims to promote technological innovation in the power industry, particularly in new energy and artificial intelligence applications [7][11] - The agreement includes plans for upgrading the company's information management systems and optimizing business processes [7][12] - A joint technology innovation management committee will be established to oversee project decisions and coordination [8] Group 3: Responsibilities and Contributions - Tsinghua Sichuan Energy Internet Research Institute will provide consulting and technical services for digital transformation and technological innovation [11] - The company will allocate necessary resources and funding for research projects, while the institute will offer technical support and integrate university resources [9][10] - All intellectual property generated during the cooperation will be jointly owned or shared according to pre-agreed terms [10] Group 4: Impact on the Company - The agreement does not specify any financial commitments and its impact on the company's performance will depend on the execution of future projects [15] - The cooperation is expected to enhance the company's market competitiveness and align with its long-term development strategy [15]

Core Viewpoint - The State Grid Suzhou Power Supply Company has two projects, "Shared Charging Robots - Promoting Green Travel" and "Building Zero Carbon Beautiful Villages," selected as typical projects in the global sustainable development field at the World Youth Development Forum, highlighting the company's commitment to innovation and sustainability [1][2]. Group 1: Shared Charging Robots - The "Shared Charging Robots" project addresses the issue of "difficulties in electric vehicle charging" by implementing a new model that separates vehicles from charging stations, allowing multiple vehicles to use one charging point, thus making charging more convenient and affordable for electric vehicle owners [1][2]. - The construction cost of shared mobile charging robots is approximately 20% lower than the "one parking space, one charging station" model, enhancing the utilization rate of charging stations to 90% in over 50 locations [2]. - The project has successfully reduced traffic carbon emissions and has been recognized for its innovative approach to solving real-life challenges faced by electric vehicle users [2]. Group 2: Zero Carbon Beautiful Villages - The "Building Zero Carbon Beautiful Villages" project focuses on sustainable agricultural practices and aims to address issues such as low carbon development capabilities in traditional agriculture and pollution from diesel drying [2][3]. - The project has established a "government + enterprise + village" partnership to innovate an "all-electric" smart circular agriculture model, achieving a 30% reduction in chemical fertilizer use and a 25% reduction in pesticide use, with 100% straw recycling [3]. - The initiative has led to the designation of Donglin Village as one of the first "Zero Carbon Villages" in Jiangsu, with plans to expand the zero-carbon village concept to 105 villages within three years [3].

Group 1 - The 2025 Langfang International Economic and Trade Fair showcased an efficient global supply chain logistics system, exemplified by fresh Norwegian salmon arriving within 24 hours of being caught [1] - The fair took place from June 16 to June 20, coinciding with China's major e-commerce platforms' "618" promotional event, which significantly increased online shopping volumes and put the logistics system under peak operation [1] - The China Logistics and Purchasing Federation reported that the total social logistics volume in 2024 reached 360.6 trillion yuan, with a year-on-year growth of 5.8% [1] Group 2 - The "Action Plan for Effectively Reducing Social Logistics Costs" issued by the Central Committee of the Communist Party of China and the State Council aims to lower the ratio of social logistics costs to GDP to around 13.5% by 2027 [2] - The plan emphasizes the importance of reducing social logistics costs to improve economic efficiency, highlighting the potential for significant reductions compared to individual enterprise cost control [2] - The Ministry of Commerce and eight other departments launched a plan to accelerate the development of intelligent supply chains in key sectors such as agriculture, manufacturing, wholesale, and retail [2] Group 3 - The "Key Cases for Reducing Social Logistics Costs" were published, featuring 20 selected examples from over 200 global submissions, including Cainiao Group's "Global 5-Day Delivery" project [3] - The logistics and supply chain service market in China is evolving into a collaborative ecosystem characterized by "logistics channels + logistics hubs + industrial clusters," providing a comparative advantage over many developing countries [3] - The integration of intelligent technology in logistics is expected to accelerate the transition to intelligent supply chain services, enhancing efficiency and reducing costs across the logistics sector [3]