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Embedded Learning-based Model Predictive Control for Mobile Robots using Gaussian Process Regression
Publikováno v:
ACC
This paper proposes a learning-based Model Predictive Control (MPC) strategy for mobile robots. The strategy relies on Gaussian Process Regression (GPR) to improve the robot's model based on measurement data, therefore avoiding the need for an accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::499072be72250ce35efbd6be523ad784
https://doi.org/10.23919/acc45564.2020.9147443
https://doi.org/10.23919/acc45564.2020.9147443
