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This research aims to optimize manipulator dimensions based on load direction to improve performance indices.

dimension optimization method for manipulator design considering load direction

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Optimization method enhances load-carrying capacity in manipulators, indicating improved performance for engineering applications.

This research aims to optimize manipulator dimensions based on load direction to improve performance indices.
Propose a dimension optimization via global visualization (DOGV) method.
Use a redundantly actuated parallel manipulator (RAPM) for testing.
Model the active limb in parallel and the passive limb in series using screw theory.
Analyze performance indices such as workspace, dexterity, load-carrying capacity, and stiffness.
The DOGV method significantly enhances load-carrying capacity.
Numerical comparisons indicate improved workspace and dexterity.
Optimal dimension parameters identified for practical applications.

Wang et al. (2026) studied this question.

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