首页|Reports on Robotics Findings from Zhengzhou University Provide New Insights (Lon g Short-term Memory-based Multi-robot Trajectory Planning: Learn From Mpcc and M ake It Better)
Reports on Robotics Findings from Zhengzhou University Provide New Insights (Lon g Short-term Memory-based Multi-robot Trajectory Planning: Learn From Mpcc and M ake It Better)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated,“The current traje ctory planning methods for multi-robot systems face challenges due to high computational burden and inadequate adaptability in complex constrained environments, obstructing efficiencyimprovements in production and logistics. This article p resents an innovative solution by integratingmodel predictive contouring contro l (MPCC) and long short-term memory (LSTM) networks for real-timetrajectory pla nning of multiple mobile robots.”
ZhengzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRobotRoboticsZhengzhou Univers ity
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