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Multi Objective Optimization based Path Planning in Robotics using Nature Inspired Algorithms: A Survey

机译:利用自然启发算法的机器人多目标优化基于路径规划:调查

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Path Planning is one of the exclusive research area in the Robotics. It basically focuses on the robot motion from the initial position to final position such that it must avoid the hurdles and finally reach the goal in optimal path. But it is not an easy task because many conditions are included for the efficiency of final result like working on different environments, known or unknown target etc. Conventional methods, are not suitable because of their limitations. To compensate the problem the nature inspired algorithms are applied in the path planning. These algorithms can efficiently work for different optimization problems. The Multi Objective optimization is applied to path planning techniques using nature inspired algorithms can perform well in different scenarios thereby increasing the overall efficiency of the algorithms.
机译:路径规划是机器人中的独家研究区域之一。它基本上专注于机器人运动从初始位置到最终位置,使得它必须避免障碍并且最终在最佳路径中达到目标。但这不是一项简单的任务,因为包括在不同环境中工作的最终结果的效率,已知或未知目标等的许多条件包括常规方法,因此由于它们的限制而不合适。为了补偿问题,在路径规划中应用自然启发算法。这些算法可以有效地为不同的优化问题工作。多目标优化应用于使用自然启发算法的路径规划技术可以在不同场景中表现良好,从而提高了算法的整体效率。

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