Home /Research /Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm

OTHER

Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm

Gökhan Bayar, Goktug Hambarci

Year: 2022
Citations: 16

Keywords

Latin hypercube samplingMonte Carlo methodComputer scienceMonte Carlo localizationAlgorithmCorrectnessPosition (finance)Mobile robotRobotSampling (signal processing)

Improving measurement accuracy of indoor positioning system of a Mecanum wheeled mobile robot using Monte Carlo - Latin hypercube sampling based machine learning algorithm

Keywords

Related papers

Statistical Learning Theory

Artificial intelligence: a modern approach

Fractional Differential Equations

Applied Nonlinear Control