首页|University of Aizu Researcher Details Findings in Robotics (Enhanced Robot Motio n Block of A-Star Algorithm for Robotic Path Planning)
University of Aizu Researcher Details Findings in Robotics (Enhanced Robot Motio n Block of A-Star Algorithm for Robotic Path Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on robotics have been published .According to news reporting originating from the University of Aizu by NewsRx correspondents,research stated,"An optimized robot path-planning algorithm is required for various aspects of robot movements in applications.The efficacy of the robot path-planning model is vulnerable to the number of search nodes,path cost,and time complexity." Our news reporters obtained a quote from the research from University of Aizu:" The conventional A-star (A*) algorithm outperforms other grid-based algorithms b ecause of its heuristic approach.However,the performance of the conventional A * algorithm is suboptimal for the time,space,and number of search nodes,depen ding on the robot motion block (RMB).To address these challenges,this paper pr oposes an optimal RMB with an adaptive cost function to improve performance.The proposed adaptive cost function keeps track of the goal node and adaptively cal culates the movement costs for quickly arriving at the goal node.Incorporating the adaptive cost function with a selected optimal RMB significantly reduces the searches of less impactful and redundant nodes,which improves the performance of the A* algorithm in terms of the number of search nodes and time complexity.To validate the performance and robustness of the proposed model,an extensive e xperiment was conducted.In the experiment,an open-source dataset featuring var ious types of grid maps was customized to incorporate the multiple map sizes and sets of source-to-destination nodes."
University of AizuAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsRobots
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