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Energy Efficient Dynamic Window Approach for Local Path Planning in Mobile Service Robotics * * This work was conducted at the University of Auckland, Auckland, New Zealand

机译:移动服务机器人中用于本地路径规划的节能动态窗口方法 * * 这项工作是在奥克兰大学,奥克兰,新西兰

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摘要

An energy efficient local path planner for navigation of omnidirectional battery-powered mobile robots in dynamic environments is presented in this paper. The proposed algorithm extends the Dynamic Window Approach (DWA) to incorporate a cost function based on energy consumption. The estimated energy consumption during planning is predicted using a linear regression model that is learned on the fly. Empirical results are presented on a mobile robot platform that show a 9.79% decrease in energy consumption in comparison to the DWA approach.
机译:本文提出了一种在动态环境中用于全向电池供电的移动机器人导航的节能本地路径规划器。所提出的算法扩展了动态窗口方法(DWA),以结合基于能耗的成本函数。计划过程中的估计能耗是使用动态学习的线性回归模型预测的。在移动机器人平台上提供的实验结果表明,与DWA方法相比,能耗降低了9.79%。

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