首页|Study Findings on Robotics Published by a Researcher at Shandong University of T echnology (Research on Slam And Path Planning Method For Inspection Robot in Orc hard Environment)
Study Findings on Robotics Published by a Researcher at Shandong University of T echnology (Research on Slam And Path Planning Method For Inspection Robot in Orc hard Environment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news originating from Zibo, People’s Republic of China, by NewsRx editors, the research stated, “Orchard robots play a crucial role in agri cultural production. Autonomous navigation serves as the foundation for orchard robots and eco-unmanned farms.” The news journalists obtained a quote from the research from Shandong University of Technology: “Accurate sensing and localization are prerequisites for achievi ng autonomous navigation. However, current vision-based navigation solutions are sensitive to environmental factors, such as light, weather, and background, whi ch can affect positioning accuracy. Therefore, they are unsuitable for outdoor n avigation applications. LIDAR provides accurate distance measurements and is sui table for a wide range of environments. Its immunity to interference is not affe cted by light, colour, weather, or other factors, making it suitable for low obj ects and complex orchard scenes. Therefore, LiDAR navigation is more suitable fo r orchard environments. In complex orchard environments, tree branches and folia ge can cause Global Positioning System (GNSS) accuracy to degrade, resulting in signal loss. Therefore, the major challenge that needs to be addressed is genera ting navigation paths and locating the position of orchard robots.”
Shandong University of TechnologyZiboPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano -robotRobotRobotics
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