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Thesis

Spanish

ID: <

http://hdl.handle.net/10251/174640

>

Where these data come from
Study of Bayesian optimisation techniques applied to painting operations with robotic manipulators

Abstract

[EN] This Master Thesis will explore the computation of optimal parameters for simulated robot maneuvers in CoppeliaSim using the Bayesian Optimization of Matlab's Statistics and Machine Learning Toolbox. The simulation environment, communication with Matlab and the statistical analysis of results will be developed. A first case study of a robot throwing a ball will be proposed, and later on we will study the problem of a robotic manipulator in a painting task operation that must maximize the performance including execution time and overal coverage of the painted surface. TFGM

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