首页|Reports Outline Robotics Study Findings from Pusan National University (Path Pla nning Based on Artificial Potential Field with an Enhanced Virtual Hill Algorith m)
Reports Outline Robotics Study Findings from Pusan National University (Path Pla nning Based on Artificial Potential Field with an Enhanced Virtual Hill Algorith m)
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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 Pusan National University by News Rx correspondents, research stated, "The artificial potential field algorithm ha s been widely applied to mobile robots and robotic arms due to its advantage of enabling simple and efficient path planning in unknown environments." Financial supporters for this research include Ministry of Trade Industry & Energy. The news reporters obtained a quote from the research from Pusan National Univer sity: "However, solving the local minimum problem is an essential task and is st ill being studied. Among current methods, the technique using the virtual hill c oncept is reliable and suitable for real-time path planning because it does not create a new local minimum and provides lower complexity. However, in the previo us study, the shape of the obstacles was not considered in determining the robot 's direction at the moment it is trapped in a local minimum. For this reason, lo nger or blocked paths are sometimes selected."
Pusan National UniversityAlgorithmsE merging TechnologiesMachine LearningRobotRobotics
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