Publicación:
Optimal Control of a Mobile Robot Describing Minimum-Length Paths with Forward and Backward Motion

dc.contributor.author Velasco Mellado, Luis es_PE
dc.contributor.author Moran Cardenas, Antonio es_PE
dc.contributor.author Cuellar Cordova, Francisco es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2019
dc.description.abstract This paper presents a novel path planning algorithm for a car-like mobile robot describing optimal paths using forward and backward motion combined. Path planning for tracking a mobile robot is an important part of an autonomous control system, especially when precision and high energy performance is required, considering several constraints depending on the robot dynamics and the environment. The proposed algorithm uses curves and straight lines, which perfectly describe the desired minimum-length and then applying feedback linearization techniques to design a controller for generating the correct value of robot velocity and steering angle. Simulations are presented to validate the algorithm, leading the mobile robot to describe the optimal trajectory under different working conditions, verifying the effectiveness of the proposed control method.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1109/ICARM.2019.8834184
dc.identifier.uri https://hdl.handle.net/20.500.12390/2861
dc.language.iso eng
dc.publisher IEEE
dc.relation.ispartof 2019 IEEE 4TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2019)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Switches
dc.subject Mobile robots es_PE
dc.subject Mathematical model es_PE
dc.subject Robot kinematics es_PE
dc.subject Junctions es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#2.02.02
dc.title Optimal Control of a Mobile Robot Describing Minimum-Length Paths with Forward and Backward Motion
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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