首页|Study Findings from Beijing Jiaotong University Advance Knowledge in Robotics (Trajectory Planning of Robotic Arm Based on Particle Swarm Optimization Algorithm)
Study Findings from Beijing Jiaotong University Advance Knowledge in Robotics (Trajectory Planning of Robotic Arm Based on Particle Swarm Optimization Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on robotics have been published. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Achieving vibration-free smooth motion of industrial robotic arms in a short period is an important research topic.” Financial supporters for this research include Fundamental Research Funds For The Central Universities. Our news reporters obtained a quote from the research from Beijing Jiaotong University: “Existing path planning algorithms often sacrifice smoothness in pursuit of efficient motion. A robotic trajectory planning particle swarm optimization algorithm (RTPPSO) is introduced for optimizing joint angles or paths of mechanical arm movements. The RTPPSO algorithm is enhanced through the introduction of adaptive weight strategies and random perturbation terms.”
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