The purpose of this article is to provide a comprehensive analysis of robotic task sequencing so that a robot can perform multiple tasks most effectively. The framework utilizes parent–child relationships within the node hierarchy to calculate the distance between nodes in a task sequence. For three-dimensional path planning, RRT-Connect and TRi-RRT-Connect are used in the study. Compared to traditional RRT without compromising on optimal solutions, TRi-RRT-Connect significantly improves path smoothness and reduces energy consumption. According to the findings, sample-based algorithms enhance the efficiency of robotic movement.

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Robot Path Planning Using Triangular Inequality

  • Shahad Almansour

摘要

The purpose of this article is to provide a comprehensive analysis of robotic task sequencing so that a robot can perform multiple tasks most effectively. The framework utilizes parent–child relationships within the node hierarchy to calculate the distance between nodes in a task sequence. For three-dimensional path planning, RRT-Connect and TRi-RRT-Connect are used in the study. Compared to traditional RRT without compromising on optimal solutions, TRi-RRT-Connect significantly improves path smoothness and reduces energy consumption. According to the findings, sample-based algorithms enhance the efficiency of robotic movement.