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dc.contributorDepartment of Mechanical Engineeringen_US
dc.creatorWang, Hao-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/10773-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleVision-based motion control for a four-wheel drive mobile roboten_US
dcterms.abstractAutonomous Mobile Robots are ideal platforms for a wide range of applications both in indoor and outdoor environments. Most wheeled mobile robots have very simple passive suspension based on conventional mass-spring-damper methods, which bring a trade-off between loading capacity and vibration isolation. This study presents a new type 4-WD (Four-wheel Drive) mobile robot base with four passive suspensions, which is constructed by using a bio-inspired animal-limb-like structure, to guarantee both loading capacity and vibration isolation performance. With the new bio-inspired suspension, the loading capacity, riding comfort, and obstacle negotiation capability of the robot in various rough ground environments can be significantly enhanced. Besides, the motion control and state estimation of the 4-WD mobile robot has become another difficult problem restricting mobile robots in various application. A model predictive control (MPC) architecture is adopted for optimizations of mobile robot trajectory tracking. And a visual-inertial multi-sensor fusion method is used for robot state estimation, and an advanced vision-based autonomous localization and navigation named V-SLAM approach is also realized. Simulations and experimental results demonstrate that the novel passive suspension can efficiently absorb strong shock induced by obstacle crossing and hence guarantee smooth motion in various environments. The MPC controller and visual-inertial odometry (VIO) can effectively improve localization and trajectory tracking accuracy.en_US
dcterms.extentxii, 113 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2020en_US
dcterms.educationalLevelM.Sc.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHMobile robotsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/10773