Open Platform Based Mobile Robot Control for Automation in Manufacturing Logistics (original) (raw)
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Iranian Journal of Science and Technology Transaction B Engineering, 2012
Automated Guided Vehicles (AGV) have been a conventional solution and choice made by many manufacturing enterprises as means for Flexible Material Handling Systems (FMHS). In recent years, a considerable number of these vehicles have been installed on shop floors worldwide, effectively proving the usefulness of material handling systems. However, the increasing complexity of demand as well as a need for "make to order" rather than "make to stock" policy implies usage of more intelligent material handling solutions. This paper discusses the usage of an intelligent AGV as means for FMHS which should have Intelligent Material Handling System (IMHS) as the final outcome. This paper presents the experimental results of hybrid robotic control architecture. To evaluate the performance of the architecture, a mobile robot built on LEGO ® Mindstorms NXT technology was used. Some of the architectural modules are based on the implementation of Artificial Neural Networks in order to achieve the needed robustness in exploitation. Then, through simulation using AnyLogic ® 6 software, the performance in terms of manufacturing system effectiveness and workstation utilization is analyzed. Based on the experimental results, the proposed IMHS can have significant advantages over conventional material handling systems.
IRJET- An Automated Guided Vehicle for an Small Scale Industry
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Automated guided vehicles (AGV) are one of the greatest achievements in the field of mobile robotics. Without continuous guidance from a human they navigate on desired path thus completing various tasks, e.g. fork lifting objects, towing, and product transportation inside manufacturing firm. Their development can revolutionize the world in the sense of fool proof navigation and accurate maneuvering. Though most of the presently the AGV work in a retrofitted environment, work space as they require some identification for tracing their guide path, works are going on developing such AGVs which are dynamic in sense of navigation and whose locomotion is not limited to just a retrofitted workspace. Typically their job is to move raw materials or parts around a manufacturing facility, and they can be very accurate by following the guides from wires in the floors, magnets, laser, or vision. Therefore, the purpose of this thesis is to discuss the implementation in Cake Industry for material handling. The environment indoors can be easily controlled hence AGVs are useful for material handling. In Cake industry it is essential that, the material should be transported safely and without any damage Also, the chances of mishandling by persons may occur which can be reduced by using AGVs and reduce loss of industry. The AGV set up developed, used a commercial electric motor. These controls were communicated, or better imparted to vehicle using programming to servo motors, which in turn controlled the motion of vehicle. And it is found useful in Cake industry. An AGV solution has been proposed as an alternative system capable of providing a good service level while reducing the accidental losses.
IJST, 2012
Automated Guided Vehicles (AGV) have been a conventional solution and choice made by many manufacturing enterprises as means for Flexible Material Handling Systems (FMHS). In recent years, a considerable number of these vehicles have been installed on shop floors worldwide, effectively proving the usefulness of material handling systems. However, the increasing complexity of demand as well as a need for "make to order" rather than "make to stock" policy implies usage of more intelligent material handling solutions. This paper discusses the usage of an intelligent AGV as means for FMHS which should have Intelligent Material Handling System (IMHS) as the final outcome. This paper presents the experimental results of hybrid robotic control architecture. To evaluate the performance of the architecture, a mobile robot built on LEGO ® Mindstorms NXT technology was used. Some of the architectural modules are based on the implementation of Artificial Neural Networks in order to achieve the needed robustness in exploitation. Then, through simulation using AnyLogic ® 6 software, the performance in terms of manufacturing system effectiveness and workstation utilization is analyzed. Based on the experimental results, the proposed IMHS can have significant advantages over conventional material handling systems.
Manufacturing systems are undergoing a noticeable evolution due to an intense technological progress in industrial robotics. Serial production has evolved into the concept of Flexible Manufacturing Systems (FMS), which encapsulate processes in automatic equipment that are capable of executing different operations, that before be performed in several stages and diverse equipments. Automated Guided Vehicle (AGV) systems have been frequently used as material handling equipment in manufacturing systems since the last two decades. Particularly, AGV´s with trailers are, and will continue to be, the backbone of the material transport industry. The use of these systems has taken the attention of experts and researchers. They are numerous studies concerning AGV with trailers systems in literature; few of them deal with the adaptation of these systems into FMS. In this paper, a study of the trajectories and a simulation model of a hypothetical system, which included a FMS environment, were developed. In addition, a potential field's method was explored in order to improve the ability of detecting obstacles in AGV´s with trailers moving through stations.
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2020
1Uka Tarsadia University, Bardoli ---------------------------------------------------------------------***---------------------------------------------------------------------Abstract Nowadays, the industry is changing its organizational structure. This change is known as Industry 4.0, which is intended to improve the economic sector. Industry 4.0 emphases creating Cyber-physical systems where machines are made “smart” with new digital technologies so that they can communicate with each other. This communication gives rise to the evolution of automation in the industry. Companies will become more intelligent by using diverse techniques for automation. One such technique is “Automatic material handling” which deals with the problem of supplying the right material, at the right place and at the right time in the industries. The advantages are reduced labor cost, increased productivity, improved worker safety, and reduced, manufacturing lead time, and many more. Here we propose A Smart...
3-Wheel Omnidirectional Warehouse Automation Solution
Robotics is taking over automation. Nowadays robots can be found in all industries for various different purposes. One of the biggest fields where robots are used in Warehouse management. Robots are used to manage big warehouses without any help. There are many different technical solutions used for warehouse automation like Swarm Robotics, Magnetic Taping based Line Following Robotic systems, Omni Wheel Robots etc. My solution is a smart and efficient 3-wheel omnidirectional robot solution for warehouse management. Today, in the industry, Omni-directional solutions have 4 which hinder the efficiency of handling inventory. I have designed a 3-wheel Omnidirectional robot with a robotic arm to help sort and handle inventory. It manoeuvres and tracks its position with the help of a gyroscope sensor and an ultrasonic sensor-based mapping system. The two ultrasonic sensors are placed perpendicularly and are mounted on the stepper motor which keeps them straight while the robot takes turns or rotates in any direction. This method enables the robot to stay straight at all times. By staying straight, this robot does the same task while using two motors less than the present solution. It works on the Arduino microcontroller and C++ Programming and the algorithm works on the basic principles of trigonometry and the Cartesian plane. I believe that this system will decrease the cost of warehouse robotics, will reduce energy consumption and will increase the efficacy of the task