首页|Study Results from Zhejiang Science Technical University in the Area of Intellig ent Systems Reported (Gvp-rrt: a Grid Based Variable Probability Rapidly-explori ng Random Tree Algorithm for Agv Path Planning)
Study Results from Zhejiang Science Technical University in the Area of Intellig ent Systems Reported (Gvp-rrt: a Grid Based Variable Probability Rapidly-explori ng Random Tree Algorithm for Agv Path Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning - Intelligent Sy stems is the subject of a report. According to news reporting originating in Han gzhou, People’s Republic of China, by NewsRx journalists, research stated, “In r esponse to the issues of low solution efficiency, poor path planning quality, an d limited search completeness in narrow passage environments associated with Rap idly-exploring Random Tree (RRT), this paper proposes a Grid-based Variable Prob ability Rapidly-exploring Random Tree algorithm (GVP-RRT) for narrow passages. T he algorithm introduced in this paper preprocesses the map through gridization t o extract features of different path regions.” Funders for this research include Key R&D Projects of Zhejiang Prov ince, Project of Long-gang Institute of Zhejiang Sci-Tech University, Thesis Cul tivation Fund of Zhejiang Sci-Tech University.
HangzhouPeople’s Republic of ChinaAs iaIntelligent SystemsMachine LearningAlgorithmsZhejiang Science Technica l University
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