Core Viewpoint - The collaboration between Guanghetong and Yundenchu Technology aims to enhance outdoor navigation and positioning accuracy for quadruped robots through the integration of advanced AI visual algorithms and hardware solutions [1][6]. Group 1: Technical Innovations - The dual-camera visual module RV-BOT developed by Guanghetong significantly improves positioning accuracy in outdoor environments, addressing the challenges of single-sensor reliance in quadruped robots [1]. - The multi-modal data fusion algorithm combines visual feature point matching with satellite positioning data for real-time calibration, ensuring centimeter-level continuous positioning even in areas with limited satellite signals [1]. - A deep learning-optimized stereo matching model identifies typical multipath interference patterns, dynamically correcting RTK positioning errors to enhance robustness in complex scenes [2]. - Edge computing capabilities allow for real-time image processing on-site, reducing latency and ensuring the efficiency and safety of the robotic systems [3]. Group 2: Application Areas - The quadruped robot equipped with Guanghetong's dual-camera visual algorithm is expected to excel in various fields, including industrial inspection, disaster rescue, and urban services [4]. - In industrial inspection, the robot can autonomously navigate unstructured terrains, accurately identify equipment status, and improve the reliability and coverage of inspection tasks [4]. - In disaster rescue scenarios, the depth perception capabilities of the dual-camera system will assist rescue personnel in conducting reconnaissance in hazardous environments [4]. - The algorithm's ability to predict the trajectories of moving obstacles will facilitate safe autonomous transportation of goods in high-traffic urban settings [4]. Group 3: Industry Implications - The collaboration highlights the potential for synergistic innovation between AI visual algorithms and robotic hardware, paving the way for new possibilities and breakthroughs in the intelligent robotics industry [6]. - The application of Guanghetong's dual-camera visual algorithm provides a new approach to outdoor positioning for quadruped robots, supported by an edge-cloud collaborative architecture that optimizes computational power while maintaining low energy consumption [6]. - The deep coupling of dual-camera vision and motion control transforms quadruped robots from mere execution tools into intelligent entities capable of interacting with their environments, which is expected to drive further exploration of visual algorithm integration in the industry [6].