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EN
Vision based robot applications have taken a great deal of attention, with the development of electronic and computer technology. The visual feedback loop is very effective for improving the dexterity and flexibility. In this study, application of real time visual servoing approach is presented that enables a robot to robustly execute arm grasping and manipulation tasks. This task is decomposed on four stages a) finding object b) determining object's pose c) moving the robotic arm from an initial position towards the object d) grasping the object. The robot used in this work consists of an arm and head parts. The robotic arm has six degree of freedom, five degree of freedom are located at the arm while one degree of freedom is assigned to the gripper. Head has two degree of fredom which is pan-tilt platform. The image-based control strategy is designed using Fuzzy-PID controller. In this way, position error between target object and griper is minimized and the gripper can grasp the target object precisely. Real-time implementation of the proposed method is carried out using Matlab-Simulink. Experimental results show that, the developed design is valid to detect and grasp objects in real time.
EN
A robot is an electromechanical system, which is guided by software via electronic circuitry. In the absence of electronic systems, there is no way to make a connection between software and mechanical components. This means that all robotic systems require mechanical systems, electronic systems and software. OMNIMO, as a modular reconfigurable robot, has sophisticated electronic systems and software. Electronic system of OMNIMO includes controllers, actuators, transducers, communication units, regulators, batteries, user interface units and complementary components. In addition, OMNIMO is controlled by four different layers of software. In this paper, electronic hardware details, system integration and control software architecture of modular reconfigurable robot module OMNIMO are presented. In addition, adaptation of components and communication protocol details of hardware are given.
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EN
One of the main problems in path planning for multiple mobile robots is to find the optimal path between two points so that robots can follow the shortest path and consume the least energy. Also, motion planning is important to avoid collisions if multiple mobile robots are running together within environments with obstacles. In this study, motion planning for multiple robots has been proposed. It is desired that robots could move in coordination with each other from the starting point to the destination point on a plane. The coordinates of the objects and mobile robots have been acquired using image processing with a single ceiling camera. The path planning for the shortest distance has been performed using A* algorithm in dynamic frame between robot-object and object-target point, respectively. A graphical user interface has been developed based on MATLAB GUI. It is hoped that the developed system will have a wide area of applications in industry and will make important contributions for the improvement of manufacturing, assembly, transportation and storage technologies.
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