首页|Study Results from Sun Yat-sen University Update Understanding of Robotics and A utomation (Star-searcher: a Complete and Efficient Aerial System for Autonomous Target Search In Complex Unknown Environments)
Study Results from Sun Yat-sen University Update Understanding of Robotics and A utomation (Star-searcher: a Complete and Efficient Aerial System for Autonomous Target Search In Complex Unknown Environments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting originating from Guangz hou, People’s Republic of China, by NewsRx correspondents, research stated, “Thi s letter tackles the challenge of autonomous target search using unmanned aerial vehicles (UAVs) in complex unknown environments. To fill the gap in systematic approaches for this task, we introduce Star-Searcher, an aerial system featuring specialized sensor suites, mapping, and planning modules to optimize searching. ” Our news editors obtained a quote from the research from Sun Yat-sen University, “Path planning challenges due to increased inspection requirements are addresse d through a hierarchical planner with a visibility-based viewpoint clustering me thod. This simplifies planning by breaking it into global and local sub-problems , ensuring efficient global and local path coverage in real-time. Furthermore, o ur global path planning employs a history-aware mechanism to reduce motion incon sistency from frequent map changes, significantly enhancing search efficiency. W e conduct comparisons with state-of-the-art methods in both simulation and the r eal world, demonstrating shorter flight paths, reduced time, and higher target s earch completeness.”
GuangzhouPeople’s Republic of ChinaA siaRobotics and AutomationRoboticsSun Yat-sen University
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