首页|New Findings Reported from Zhejiang University Describe Advances in Robotics and Automation (Enhancing Closed-loop Performance In Learning-based Vehicle Motion Planning By Integrating Rule-based Insights)
New Findings Reported from Zhejiang University Describe Advances in Robotics and Automation (Enhancing Closed-loop Performance In Learning-based Vehicle Motion Planning By Integrating Rule-based Insights)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Robotics - Robotics and Automation are presented in a new report.According to news reporting out of Han gzhou, People’s Republic of China, by NewsRx editors, researchstated, “This let ter introduces an innovative vehicle motion planning method that leverages the i ntegrationof rule-based insights to significantly improve closed-loop performan ce within a learning-basedframework. We first employ rule-based methods to heur istically search and generate a diverse set oftrajectory proposals.”
HangzhouPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsZhejiang University
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