Path planning for yarn changing robots based on nrbo and dynamic obstacle avoidance strategy

HIGHLIGHTS

  • What: A comparative experiment is designed to evaluate the algorithm against the GA PSO and SSA algorithms. The aim is to minimize machine downtime, ensure continuous production, maintain yarn quality, and reduce material waste. The total objective function serves as the primary goal of the algorithm.
  • Who: Weimin Shi and colleagues from the College of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou, China have published the article: Path Planning for Yarn Changing Robots Based on NRBO and Dynamic Obstacle Avoidance Strategy, in the Journal: (JOURNAL)
  • How: To address the shortcomings of traditional bionic . . .

     

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