Optimization of Workspace and Dexterity in Planar Parallel Robots for Industrial Applications

Abstract

Optimizing the workspace and dexterity of planar parallel robots is crucial for enhancing their performance in industrial applications. This paper presents a comprehensive study on the optimization techniques aimed at maximizing the workspace and improving the dexterity of planar parallel robots. Advanced mathematical models and optimization algorithms are employed to analyze and enhance these key performance metrics. The results demonstrate significant improvements in robot functionality, providing valuable insights for their application in diverse industrial tasks. The results demonstrate significant improvements in both workspace size and dexterity, validated through simulations and experimental studies. These findings provide valuable insights and practical solutions for deploying more efficient and adaptable planar parallel robots in tasks such as assembly, machining, and material handling in industrial environments.