This article proposes an adaptive neuro-fuzzy inference system (ANFIS) for solving navigation problems of an autonomous ground vehicle (AGV). The system consists of four ANFIS controllers; two of which are used for regulating both the left and right angular velocities of the AGV in order to reach the target position; and other two ANFIS controllers are used for optimal heading adjustment in ord...

This paper presents a novel scheduling of resource-constrained Flexible Manufacturing System (FMS) with consideration the following sub-problems: (i) machine loading and unloading, (ii) manufacturing operation scheduling, (iii) assignment, (iv) Automated Guided Vehicle (AGV) scheduling. In proposed model, both AGV machinery are considered as required resources. Energy efficiency AGVs has been s...

The Mecanum automated guided vehicle (AGV), which can move in any direction by using a special wheel structure with a LIMwheel and a diagonally positioned roller, holds considerable promise for the field of industrial electronics. A conventional method for Mecanum AGV localization has certain limitations, such as slip phenomena, because there are variations in the surface of the road and ground...

<p class="Abstract">Nowadays, the importance of working in changing and unstructured environments such as logistics warehouses through cooperation between Automated Guided Vehicles (AGV) operator is increasingly demanded. The challenge addressed this article aims to solve two crucial functions autonomy: identification, tracking. These tasks are necessary enable an AGV follow selected alon...

An excellent navigation, guidance, and control (NGC) system had a high impact on trajectory tracking the following scenarios. Both scenarios will include heading, tangent, velocity parameters in computation. However, design problem is not new issue unmanned surface vehicle (USV) autonomous ground vehivle (AGV) due to this constraint faced by many researchers since early these autonomy developme...

Hierarchical reinforcement learning (HRL) is the study of mechanisms for exploiting the structure of tasks in order to learn more quickly. By decomposing tasks into subtasks, fully or partially specified subtask solutions can be reused in solving tasks at higher levels of abstraction. The theory of semi-Markov decision processes provides a theoretical basis for HRL. Several variant representati...

This article proposes an adaptive neuro-fuzzy inference system (ANFIS) for solving navigation problems of an autonomous ground vehicle (AGV). The system consists of four ANFIS controllers; two of which are used for regulating both the left and right angular velocities of the AGV in order to reach the target position; and other two ANFIS controllers are used for optimal heading adjustment in ord...

Recently, Autonomous Ground Vehicles (AGV) and mobile robots have been rapidly developed in various engineering applications, such as Industry 4.0 factory smart manufacturing. Indoor navigation was one of the most important tasks for systems they were often designed to move from location another autonomously without contacting surrounding objects along moving path a usually dynamic complex indo...