2017
DOI: 10.1108/ijicc-11-2016-0044
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Motion control design for unmanned ground vehicle in dynamic environment using intelligent controller

Abstract: Purpose -The motion control of unmanned ground vehicles is a challenge in the industry of automation. In this paper, a fuzzy inference system based on sensory information is proposed for the purpose of solving the navigation challenge of unmanned ground vehicles in cluttered and dynamic environments.Design/methodology/approach -The representation of the dynamic environment is a key element for the operational field and for the testing of the robotic navigation system. If dynamic obstacles move randomly in the … Show more

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Cited by 23 publications
(12 citation statements)
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“…The implemented controllers integrate the systems, and the data flow was commercial off-the-shelf (COTS) accessible [ 43 , 44 ].…”
Section: Configuration Of the Intervention Robotmentioning
confidence: 99%
“…The implemented controllers integrate the systems, and the data flow was commercial off-the-shelf (COTS) accessible [ 43 , 44 ].…”
Section: Configuration Of the Intervention Robotmentioning
confidence: 99%
“…In the last thirty years, the use of mobile robots has gained great attention because of their broad potential in practical applications oriented toward the solution of important engineering problems [31][32][33][34][35][36]. For this purpose, several control approaches were developed for obtaining the stabilization and the trajectory tracking control of mobile robots [37][38][39][40][41][42][43]. In particular, in the field of robotics, the advantage of using wheeled mobile robots instead of legged mobile robots is widely accepted.…”
Section: Formulation Of the Problem Of Interest For This Studymentioning
confidence: 99%
“…Patle, et al [102] have presented the firefly algorithm based path planning and obstacle avoidance for wheeled mobile robot in uncertain environment. Almayyahi, et al [103] have presented two fuzzy inference systems, one for obstacle avoidance and other for target reaching of the unmanned ground vehicle in the dynamic environment. Elbanhawi and Simic, [104] have made a critical review on motion planning of robot.…”
Section: Ant Colony Optimization Algorithm and Other Nondeterministicmentioning
confidence: 99%