首页|Tianshui Normal University Researcher Releases New Study Findings on Robotics (R obot Manipulator Minimum Jerk Trajectory Planning Based on the Improved Dung Bee tle Optimizer Algorithm)
Tianshui Normal University Researcher Releases New Study Findings on Robotics (R obot Manipulator Minimum Jerk Trajectory Planning Based on the Improved Dung Bee tle Optimizer Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on robotics are presented in a new rep ort. According to news originating from Gansu, People’s Republic of China, by Ne wsRx correspondents, research stated, “Trajectory planning of robotic manipulato rs in complex environments involves generating smooth and collision-free paths, and key aspects to consider include dynamic environment perception, path plannin g, trajectory smoothing and optimization, and obstacle avoidance.” Funders for this research include Malaysia Fundamental Research Grant Scheme; Ge ran Insentif Putra Siswazah; Tianshui Normal University Scientific Research Proj ect.
Tianshui Normal UniversityGansuPeopl e’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRobotics
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