Research and trend of key technology of mining mobile robot mapping

The change in maps after accidents poses significant inconvenience for personnel and rescue teams. Focused on surface and underground mining exploration maps, and considering the rapid emergency response of mining exploration robots, efforts are directed at determining optimal technical combinations by analyzing encompasses navigation positioning, wireless communication, data processing, and real-time mapping. Specially, in surface mining environments, inertial navigation combined with LiDAR (LIght Detection And Ranging) technology excels, considering factors like error accuracy, application scenarios, data processing capability, detection range, reliability, and cost. Wi-Fi technology is commonly used for data transmission. In underground mining environments, a combination of inertial navigation and visual technology, typically employing Zigbee wireless communication, is more suitable. Detailed analysis of real-time mapping techniques, emphasizing the comparison between laser SLAM (Simultaneous Localization and Mapping) and visual SLAM, as well as improvements in ORB-SLAM1-3(a Versatile and Accurate Monocular SLAM System), is presented. Finally, the prospects and trends of artificial intelligence in mobile robot map exploration are discussed, aiming to provide more accurate, reliable, and efficient solutions for mining exploration. These research findings contribute to optimizing the performance of intelligent mining exploration robots, enhancing their application capabilities in mining exploration and emergency rescue.