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].