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Heterogeneous multirobot cleaning system: State and parameter estimation

机译:异构多机器人清洗系统:状态和参数估计

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This paper presents a heterogeneous multirobot cleaning system, Jacana, and its performance test with respect to state and parameter estimation. This system aims for autonomous cleaning by robots with limited capabilities and consists of a cleaning robot for wet cleaning, a sensing one for gathering robots' and environmental data, and a server PC for processing the collected data. For the system, the feasibility of the state and parameters estimation of the cleaning robot is demonstrated with experimental data by applying the unscented Kalman filter (UKF) with a system model considering the kinematics and input transition of the cleaning robot and observation by the sensing one. The results show that the proposed system can adequately estimate the state and parameters of the cleaning robot, although the system also requires improvement in autonomous cleaning. Consequently, the proposed system has the capability to accomplish autonomous cleaning with less acquisition costs and high flexibility.
机译:本文介绍了一种异构的多机器人清洗系统,Jacana,及其在状态和参数估计方面的性能测试。该系统旨在通过功能有限的机器人进行自动清洁,该系统包括用于湿式清洁的清洁机器人,用于收集机器人和环境数据的传感机器人以及用于处理收集的数据的服务器PC。对于该系统,通过将无味卡尔曼滤波器(UKF)与考虑了清洁机器人的运动学和输入跃迁的系统模型一起应用并通过感测来观察,通过实验数据证明了清洁机器人的状态和参数估计的可行性。 。结果表明,尽管该系统还需要改进自动清洁功能,但该系统可以充分估计清洁机器人的状态和参数。因此,所提出的系统具有以更少的购置成本和高灵活性来完成自主清洁的能力。

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