本报南京2月25日讯（记者薛海燕、蒋波）春节前后，城乡物流迎来高峰。近日，在江苏扬州邗江区方 巷镇，一辆银灰色L4级无人物流车精准避让行人和非机动车后，稳稳停靠在一家便民超市门口。超市 负责人王伟介绍，"每天3趟固定配送，准时又可靠，物流成本降低30%"。 为破解物流行业招工难、成本高、效率低等痛点，去年3月，扬州推动"城域商超无人物流"场景落地， 投入300余台无人物流车穿梭于城乡各类物流节点，构建起覆盖广泛、智能高效的配送网络。 在城市治理方面，数智化手段显著提升治理效能。扬子江路上，环卫无人机升至百米高空巡航，高清摄 像头结合AI智能识别算法，可精准锁定绿化带隐蔽垃圾、河道漂浮物。 "扬州已梳理形成大批机会场景和能力场景，打造场景供需合作平台，场景建设成效显著。"扬州市委书 记王进健说，将持续发布创新场景"两张清单"，加大企业服务保障力度，以场景培育赋能创新发展。 （文章来源：经济日报） 类似的场景在扬州并不鲜见。近年来，扬州加大应用场景建设和开放力度，举办产业科创名城创新场景 发布对接会，亮出109项场景清单；举办应用场景创新生态大会，发布第二批50个应用场景清单，精准 助力产业升级。场景创新正在成为 ...

在城市治理方面，数智化手段显著提升治理效能。扬子江路上，环卫无人机升至百米高空巡航，高清摄 像头结合AI智能识别算法，可精准锁定绿化带隐蔽垃圾、河道漂浮物。 "扬州已梳理形成大批机会场景和能力场景，打造场景供需合作平台，场景建设成效显著。"扬州市委书 记王进健说，将持续发布创新场景"两张清单"，加大企业服务保障力度，以场景培育赋能创新发展。 本报南京2月25日讯（记者薛海燕、蒋波）春节前后，城乡物流迎来高峰。近日，在江苏扬州邗江区方 巷镇，一辆银灰色L4级无人物流车精准避让行人和非机动车后，稳稳停靠在一家便民超市门口。超市 负责人王伟介绍，"每天3趟固定配送，准时又可靠，物流成本降低30%"。 为破解物流行业招工难、成本高、效率低等痛点，去年3月，扬州推动"城域商超无人物流"场景落地， 投入300余台无人物流车穿梭于城乡各类物流节点，构建起覆盖广泛、智能高效的配送网络。 类似的场景在扬州并不鲜见。近年来，扬州加大应用场景建设和开放力度，举办产业科创名城创新场景 发布对接会，亮出109项场景清单；举办应用场景创新生态大会，发布第二批50个应用场景清单，精准 助力产业升级。场景创新正在成为当地产业升级、城市治理现 ...

Core Insights - RoboSense showcased its groundbreaking AI robot "Delivery Guy" at CES 2026, marking its tenth consecutive year at the event, demonstrating significant advancements in embodied intelligence [1][4][6] - The robot autonomously completed a series of complex tasks, including gift packaging, delivery, and box recycling, utilizing RoboSense's proprietary "Hand-Eye Coordination" solution [1][6][7] Product Innovations - The exhibition featured several new products, including the second-generation solid-state LiDAR E1 Gen2, the world's first 3D safety LiDAR Safety Airy, and the ultra-mini digital LiDAR Airy Lite, among others [3][11] - RoboSense's self-developed chips were also highlighted, showcasing the company's commitment to advancing its technology stack [3][12] Strategic Partnerships - RoboSense announced collaborations with leading brands in various sectors, including a partnership with Segway Navimow for a new LiDAR lawn mowing robot and joint displays with New Stone and Coco Robotics for autonomous delivery vehicles [3][10] - The company also partnered with Geely to showcase the flagship SUV Lynk & Co 900, emphasizing the commercial application of its technology across multiple scenarios [3][10] Technological Advancements - The "Delivery Guy" robot utilized the VTLA-3D operational model, integrating tactile feedback with 3D point cloud data to enhance environmental perception and operational success rates [6][7] - The robot's system includes an Active Camera series for precise perception and a multi-degree-of-freedom dexterous hand to address visual blind spots, demonstrating advanced capabilities in long-range and high-precision tasks [7][8] Future Vision - RoboSense aims to solidify its position as a core technology ecosystem builder in the AI robotics field, focusing on self-developed innovations and commercial applications to drive the evolution of the automotive and robotics industries [16]

Core Insights - In 2025, the Chinese automotive industry will experience a deepening transformation towards intelligence, shifting the supply chain from "price competition" to "value competition" and evolving towards a "fully intelligent ecosystem co-construction" [2] - Level 3 autonomous vehicles will be legally operational in China, marking a significant milestone for companies like Robotaixi, which is expected to achieve profitability [2] - The supply chain's global competitiveness will accelerate as the intelligent wave drives the evolution from component assembly to technological ecosystems, with advancements in areas like unmanned delivery and flying cars [2] Group 1: Industry Trends - The most notable feature of the automotive intelligent supply chain in 2025 will be "ecological integration" replacing "single-point cooperation," with leading automakers and core suppliers forming deep collaborative barriers through strategic investments and equity binding [3] - Capital injection is crucial for resource binding, exemplified by Chery and Luxshare's joint investment of $100 million in Lightyear, and other strategic investments by major players like FAW and Geely [3] - The restructuring of major automotive companies, such as Changan becoming a new central enterprise, will lead to the establishment of intelligent manufacturing and asset management platforms [3] Group 2: Technological Advancements - Core suppliers are transitioning from "component providers" to "full-stack solution enablers," with companies like Huawei leading the charge in defining products and channels through their HarmonyOS [4] - The implementation of a 60-day payment term by major automakers aims to restore the credit system within the supply chain, fostering a shift from competition to strategic partnerships [4] - Significant regulatory changes include the mandatory adoption of Advanced Emergency Braking Systems (AEBS) and the introduction of stringent safety standards for power batteries [5] Group 3: Commercialization and Market Expansion - The commercialization of Level 4 autonomous driving technology is entering a verification phase, with the Ministry of Industry and Information Technology granting licenses for Level 3 systems to specific models [6] - The Robotaxi sector is witnessing critical breakthroughs, with companies like Pony.ai and WeRide achieving dual listings and significant advancements in autonomous driving systems [6] - Unmanned delivery is transitioning from pilot projects to large-scale applications, with companies like New Stone and JD Logistics deploying thousands of unmanned vehicles [7] Group 4: Challenges and Future Outlook - Despite significant breakthroughs in 2025, the Chinese automotive supply chain faces three major challenges: reliance on external sources for raw materials like lithium and cobalt, dependency on imported chips, and limitations in foundational software technologies [8]

Core Viewpoint - The strategic partnership between Qingzhou Zhihang and Zhejiang Jinmail Supply Chain Technology Service Co., Ltd. aims to promote the large-scale commercial use of L4 autonomous logistics vehicles on open roads in Ningbo by 2025 [1]. Group 1 - The two companies have signed a strategic cooperation agreement to facilitate the deployment of autonomous logistics vehicles [1]. - The plan includes the establishment of multiple benchmark routes for autonomous logistics operations in Ningbo by 2025 [1]. - The focus will be on the collection, delivery, and transfer of goods between distribution points and service stations [1]. Group 2 - The companies intend to deploy hundreds of autonomous logistics vehicles in the first half of 2026 [1].

Core Viewpoint - The strategic partnership between Lightyear Zhihang and Zhejiang Jinpost Supply Chain Technology Service Co., Ltd. aims to promote the large-scale commercial use of L4 autonomous logistics vehicles on open roads in Ningbo by 2025 [1] Group 1 - The agreement was signed on November 20, indicating a formal collaboration between the two companies [1] - The plan includes the establishment of multiple benchmark routes for autonomous logistics operations in Ningbo by 2025, focusing on the delivery and transfer of goods between distribution points and stations [1] - The companies intend to deploy hundreds of autonomous logistics vehicles in the first half of 2026 [1]

Core Insights - Lightyear Intelligent and Chery Commercial Vehicles have established a strategic partnership for unmanned logistics, aiming to develop a new mass-produced L4 logistics product [1] - The collaboration will leverage both companies' strengths in autonomous driving technology, vehicle mass production, and global market resources to promote the large-scale application of unmanned logistics vehicles in urban delivery scenarios [1] Summary by Categories Partnership Details - The strategic cooperation marks a deepening of the relationship between Lightyear Intelligent and Chery Commercial Vehicles [1] - The first unmanned logistics vehicle developed by the partnership has already been deployed in cities such as Suzhou, Jinhua, and Wuhu [1] Product Development - The goal is to create a globally leading vehicle-grade unmanned commercial vehicle platform [1] - Future plans include expanding the deployment of unmanned logistics vehicles to core urban delivery areas across the country and eventually to global markets [1]

Core Insights - Neolix, a Level 4 autonomous logistics vehicle company, announced the completion of over $600 million in Series D financing, marking the largest private equity financing in China's autonomous driving sector to date [1] - The funding round was led by Stone Venture from the UAE, with participation from several prominent investors, including Gaocheng Investment and Xincheng Capital [1] - Neolix plans to use the funds to enhance algorithm and technology development, expand product offerings for various commercial scenarios, and improve service networks to elevate user experience [1] Company Developments - Neolix's CEO, Yu Enyuan, stated that the financing will strengthen the company's technological capabilities and market competitiveness in the unmanned urban distribution sector, accelerating the commercial application of autonomous vehicles to meet growing domestic and international demand [1] - The company has delivered over 10,000 Level 4 autonomous vehicles, making it the first in the world to achieve this milestone, with monthly deliveries exceeding 2,000 vehicles [2] - Neolix has deployed vehicles in over 300 cities, with a cumulative Level 4 autonomous driving mileage surpassing 50 million kilometers [2] Market Outlook - The market for autonomous delivery vehicles is expected to experience exponential growth, with a projected demand for over 100,000 units by 2027 in both domestic and international markets [2] - Major cities like Beijing, Shanghai, and Guangzhou are anticipated to have thousands of autonomous delivery vehicles operating within three years, potentially leading to a total of hundreds of thousands of units [2] - The logistics industry is facing a labor shortage and increasing daily parcel volumes, positioning Neolix's autonomous logistics vehicles as a key solution to address these challenges [1][3] Technological Advancements - Neolix has developed a foundational model for freight called "Neolix-VA," enabling end-to-end operations and allowing its RoboVan fleet to integrate smoothly into complex traffic environments [3] - The company's autonomous driving technology is now being commercialized, with ongoing iterations of the model expected to overcome geographical and cost limitations in the industry [3] - Industry experts predict a surge in demand for autonomous delivery vehicles in the next three years, with estimates suggesting sales could exceed 30,000 units by 2025 [3]

Core Insights - UQI, a subsidiary of UBTECH, has appointed Yang Jifeng, a former head of Great Wall Motors' AI Lab, as a technical partner and co-CEO [1] - Yang Jifeng brings extensive experience in Robotaxi, large model development, and international technology collaboration [1] - He will lead the core R&D of UQI's industrial humanoid robots and L4-level unmanned logistics vehicles, as well as spearhead overseas business expansion [1] - The goal is to create an "end-to-end unmanned logistics system based on embodied intelligence" [1]