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An Interval-based Sliding Horizon Motion Planning Method ?

机译:基于间隔的滑动水平运动计划方法

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A new algorithm of motion planning based on set-membership approach is presented. The goal of this algorithm is to find a safe and optimal path taking into account various sources of bounded uncertainties on the dynamical model of the plant, on the model of the environment, while being robust with respect to the numerical approximations introduced by numerical integration methods. The main approach is based on a sliding horizon method to predict the behavior of the system allowing the computation of an optimal path. As an example, the motion planning algorithm is applied to an Autonomous Underwater Vehicle (AUV) case study, showing the benefit of the proposed approach.
机译:提出了一种基于集合隶属度的运动计划算法。该算法的目标是找到一种安全且最佳的路径,同时考虑到植物动力学模型,环境模型上各种不确定性的来源,同时相对于数值积分方法引入的数值逼近具有鲁棒性。主要方法基于滑动水平方法来预测系统的行为,从而可以计算最佳路径。例如,将运动计划算法应用于自主水下航行器(AUV)案例研究,表明了该方法的优势。

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