传统环卫行业痛点加剧的背景下，无人化技术的渗透正推动行业迈向商业化临界点，智能清扫的替代空 间逐步释放。作为新能源环卫装备领域的头部企业，盈峰环境（000967）（000967.SZ）推出的"蜂 群"智慧网联清洁机器人系列，成为行业智能化转型的重要探索方向。目前，该"蜂群"系统已在全国21 个省份40个城市实现规模化落地，海外项目同步推进，这一进展标志着国内环卫无人化领域进入商业化 发展新阶段。在2025年11月举办的深圳国际人工智能环卫机器人应用创新大赛中，盈峰环境拿下7项大 奖，参赛单元悉数获奖，并斩获赛事"全场景总冠军"。 从产品矩阵来看，"蜂群"系列包含三大核心产品：针对广场、封闭园区等场景的1吨级"小蜜蜂"，具备 自动路径规划、集群协同等功能；适配城市主次干道的3吨级"小黄蜂"，可实现无人驾驶与大功率高效 作业；全球首创的18吨级"大黄蜂"，则填补了城市主干道高强度作业的无人化装备空白，成为行业标杆 产品。 行业风口显现：无人环卫加速崛起，市场增长与替代空间并存 近年来，传统环卫行业的固有痛点持续凸显，无人化技术的快速迭代为行业发展提供了新路径，也推动 无人环卫市场逐步触及商业化拐点。"从行业数据来 ...

Core Viewpoint - The article emphasizes the importance of "embodied intelligence" in transforming the retail industry, with Meituan leading the way in integrating technology into real-world scenarios to enhance service efficiency and quality [9][10][11]. Group 1: Meituan's Strategy and Innovations - Meituan's strategic shift from "retail" to "retail + technology" highlights the integration of technology as a means to empower retail scenarios [9][10]. - The company is pioneering in the use of drones and autonomous delivery vehicles, being the only one in China authorized by the Civil Aviation Administration to operate drones nationwide, even at night [16][21]. - Meituan's focus on "autonomy" aims to drive transformation in the retail sector, showcasing innovations like drone delivery of food and rapid delivery services in various environments [14][15][18]. Group 2: Insights from Industry Experts - Various industry leaders at the conference discussed the need for embodied intelligence to address real-world challenges, emphasizing that technology should serve practical purposes rather than being an end in itself [5][6][12]. - The concept of "Generative Adversarial Transduction" (GAT) was introduced, which allows machine learning models to iteratively correct each other, enhancing both learning and stability [25][26]. - The discussion also covered the importance of infrastructure in supporting the robotics industry, with a focus on quality, performance, and cost management in hardware development [38][42][46]. Group 3: Theoretical Frameworks and Future Directions - Theoretical frameworks such as "Non-vector Space Control" and "Perceptive Control" were proposed, suggesting that robots should learn to act based on sensory inputs rather than relying solely on pre-defined paths [29][33]. - The need for a foundational model for embodied intelligence was emphasized, distinguishing it from existing AI applications and highlighting the importance of understanding the physical world [50][51][52]. - The article concludes with a vision for the future of robotics, where machines possess curiosity and the ability to adapt, ultimately leading to a harmonious coexistence with humans [106][108][110].