首页|Researchers' Work from China Jiliang University Focuses on Robotics and Automati on (Enhancing Adaptability: Hierarchical Frontier-based Path Planning for Naviga tion In Challenging Environments)
Researchers' Work from China Jiliang University Focuses on Robotics and Automati on (Enhancing Adaptability: Hierarchical Frontier-based Path Planning for Naviga tion In Challenging Environments)
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Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news reporting originatin g from Hangzhou, People's Republic of China, by NewsRx correspondents, research stated, "Current UAV path planning methods exhibit efficient performance in navi gating environments with small obstacles, such as indoor areas and outdoor fores ts. However, they often encounter challenges when dealing with environments char acterized by large obstacles, such as expansive walls and towering structures sc enario (ET scenario)." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from China Jiliang Universit y, "These challenges often cause problems of path redundancy or even complete fa ilure in path planning. In this letter, a hierarchical frontier-based path plann ing framework is proposed to enhance the adaptability of planners to diverse env ironments. The collected frontiers, processed by a point cloud voxel down-sampli ng method, are transformed into a spatially uniform point set. An analysis is co nducted to explore the relationship among the UAV's current position, the target , and the potential guide point. Following this, a decision function is designed to identify the optimal local guide point from the point set to guide the UAV i n path planning."
HangzhouPeople's Republic of ChinaAs iaRobotics and AutomationRoboticsChina Jiliang University
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