Publicación:
Design of a mobile robot’s control system for obstacle identification and avoidance using sensor fusion and model predictive control

dc.contributor.author Barreto Guerra, Jean Paul es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2017
dc.description.abstract The aim of this master thesis is to design a control system based on model predictive control (MPC) with sensor data fusion for obstacle avoidance. Since the amount of obtained data is larger due to multiple sensors, the required sampling time has to be larger enough in comparison with the calculation time of the optimal problem. Then it is proposed a simplification of the mobile robot model in order to reduce this optimization time. The sensor data fusion technique uses the range information of a laser scanner and the data of a mono-camera acquired from image processing techniques. In image processing different detection algorithms are proposed such as shape and color detection. Therefore an estimation of the obstacles dimension and distance is explained obtaining accurate results. Finally a data fusion for obstacle determination is developed in order to use this information in the optimization control problem as a path constraint. The obtained results show the mobile robot behavior in trajectories tracking and obstacle avoidance problems by comparing two different sampling times. It is concluded that the mobile robot reaches the final desired position while avoiding the detected obstacles along the trajectory.
dc.description.sponsorship Fondo Nacional de Desarrollo Científico y Tecnológico - Fondecyt
dc.identifier.uri https://hdl.handle.net/20.500.12390/1774
dc.language.iso eng
dc.publisher Pontificia Universidad Católica del Perú
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/2.5/pe/
dc.subject Sensores remotos
dc.subject Control automático es_PE
dc.subject Control predictivo es_PE
dc.subject Robots móviles es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#2.02.03
dc.title Design of a mobile robot’s control system for obstacle identification and avoidance using sensor fusion and model predictive control
dc.type info:eu-repo/semantics/masterThesis
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
thesis.degree.discipline Ingeniería de Control y Automatización
thesis.degree.grantor Pontificia Universidad Católica del Perú. Escuela de Postgrado
thesis.degree.name Magíster en Ingeniería de Control y Automatización
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