来源：环球网 山猫M20轮足机器人在涪陵榨菜田运输青菜头 "过去我们搬运榨菜必须用人从地里搬运到公路边，这个机器狗可以在农地里上坡下坎，自动来回运 送，解决了农地到公路最难的最后一公里，实实在在为我们减了负省了力。"现场一位菜农擦了把汗， 算起账来——机器狗加入后，同样时间内转运量明显提升，更重要的是把人力从繁重的体力活中解放出 来。重庆市涪陵区农业农村委员会现场负责采收组织的工作人员也表示："机器狗作为我们国家目前比 较先进的科技，能够有效服务于本次涪陵公益助农中的搬运环节，它可轻松进入传统机械难以到达的地 形，承担更重的搬运任务，实现榨菜转运的智能化，让农业生产过程更加便捷。这是智能机器人在山区 农业场景的一次成功验证。" 绝影X30四足机器人在涪陵榨菜田运输青菜头 这并非云深处科技首次将机器人应用于实际服务需求场景——从青藏高原可可西里无人区的藏羚羊科 考，到宁夏戈壁滩无人区风电站的电力巡检，再到如今重庆涪陵田间的公益助收，哪里有需要就去哪 里，云深处科技始终致力于将机器狗推向环境恶劣、需要重复劳动的各类前沿阵地。 云深处科技机器狗在涪陵榨菜田运输青菜头 今年，田垄间多了一群特殊的"搬运工"。云深处科技 ...

Core Viewpoint - Guanghe Tong's self-developed binocular vision algorithm significantly enhances positioning accuracy in outdoor scenarios, paving new paths for the intelligent application of domestic quadruped robots [1][2]. Group 1: Technological Innovations - The collaboration between Guanghe Tong and Yundenshu Technology integrates Guanghe Tong's self-developed binocular vision module RV-BOT into Yundenshu's quadruped robot, improving outdoor operational capabilities [2]. - The binocular vision algorithm utilizes multi-modal data fusion, combining visual feature point matching with real-time calibration of satellite positioning data, ensuring centimeter-level continuous positioning even in satellite signal-limited areas [2]. - A deep learning-optimized stereo matching model identifies typical multipath interference patterns, dynamically correcting RTK positioning deviations to enhance robustness in complex environments [3]. Group 2: Edge Computing and Real-time Processing - The algorithm leverages Guanghe Tong's edge AI deployment capabilities, enabling real-time image processing locally, which significantly reduces latency and ensures the efficiency and safety of the robot's responses [5]. Group 3: Application Areas - The quadruped robot equipped with Guanghe Tong's binocular vision algorithm is expected to demonstrate adaptive advantages in various fields, including: - Industrial Inspection: The robot autonomously navigates unstructured terrains, accurately identifying equipment status and enhancing the reliability and coverage of inspection tasks [8]. - Disaster Rescue: The depth perception capabilities of the binocular vision will assist rescue personnel in conducting reconnaissance in post-disaster ruins and hazardous environments [8]. - Urban Services: The algorithm predicts the trajectories of moving obstacles in high-dynamic pedestrian environments, enabling safe autonomous transportation of goods and other operations [8]. Group 4: Future Prospects - The application of Guanghe Tong's binocular vision algorithm provides new insights for outdoor positioning of quadruped robots, with an edge-cloud collaborative architecture supporting computational optimization for running complex visual algorithms under limited power consumption [9]. - The deep coupling of binocular vision and motion control transforms the robot from a single execution tool into an intelligent agent for environmental interaction, with further exploration of visual algorithm integration expected to promote broader applications in various scenarios [9].