（文章来源：科技日报） 12日，由国网浙江省电力有限公司自主研发的特高压线路具身智能双臂机器人，在浙江湖州开展首次清 障作业。作业过程中，机器人通过灵巧手等模块化末端执行器，快速清除飘挂在特高压上的细小易飘 物。据介绍，其单臂采用6自由度仿人构型，负载能力超过5公斤，工作半径为0.9米，可灵活适应不同 作业任务需求。此外，机器人可在300米外受到远程控制，开展毫米级精细操作，重复定位精度高达 ±0.5毫米。 ...

Core Insights - The State Grid Huzhou Power Supply Company has successfully developed and deployed a high-altitude obstacle-clearing robot based on embodied intelligence technology, marking a significant advancement in the application of smart operations and embodied intelligent robots in ultra-high voltage (UHV) maintenance [1][3]. Group 1: Technological Advancements - The newly developed robot features dual mechanical arms with a humanoid design, capable of carrying loads over 5 kilograms and performing precise operations from a distance of 300 meters with a positioning accuracy of ±0.5 millimeters [3][5]. - The robot is equipped with a dual-link redundant communication system based on 5G and LoRa, achieving a latency of less than 10 milliseconds, which enhances operational efficiency [3][5]. - The system includes a "digital twin + real-time remote operation" ground station that allows for real-time mapping between the operation site, digital twin model, and control equipment, significantly improving control precision and operational efficiency [3][5]. Group 2: Operational Capabilities - The robot is designed to perform various tasks, including the removal of foreign objects and future capabilities such as installing pins, nuts, and other components during live maintenance operations [5]. - It features visual interaction, autonomous learning, and human-machine synchronous interaction, allowing it to adapt to different operational requirements and update its twin model in real-time [5]. Group 3: Industry Context - Huzhou, Zhejiang, is a major energy transmission corridor in China, with 12 UHV and inter-regional power lines spanning 924.3 kilometers, accounting for 42.05% of the province's total scale [5]. - The State Grid Huzhou Power Supply Company has been innovating in smart inspection modes, utilizing satellite remote sensing, drone inspections, and online monitoring technologies to enhance the precision of equipment status perception and risk warning [5].