首页|Findings from Shenyang Institute of Automation Yields New Data on Intelligent Sy stems (Optimal Time Reuse Strategy-based Dynamic Multi-agv Path Planning Method)
Findings from Shenyang Institute of Automation Yields New Data on Intelligent Sy stems (Optimal Time Reuse Strategy-based Dynamic Multi-agv Path Planning Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published.According to news reporting from Liaoning, People’s Republic of China, by NewsRx journalists, researchstated, “T he window strategy, known for its flexibility and efficiency, is extensively use d in dynamic pathplanning. To further enhance the performance of the Automated Guided Vehicles (AGVs) sorting system,the two processes of AGV movement and pat h planning can be executed concurrently based on the windowstrategy.”
LiaoningPeople’s Republic of ChinaAs iaIntelligent SystemsMachine LearningShenyang Institute of Automation
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