Industrial Robot and Automation

2022

Due to nonlinearity and multiple solutions, it is quite complicated to analyze the inverse kinematics of a 6-DOF industrial robot. There is no distinctive solution for an inverse kinematic; hence a number of predictive approaches are adopted to solve the problem. The conventional method like Jacobin transformation is used to get the closed form solution of joint angles. The ANN and fuzzy logic are applied to a number of models to solve the inverse kinematic problem. The higher degree of polynomial solution does not solve by these methods. To overcome the conventional technique problem, any more optimization approaches are applied. The ANN and fuzzy logic shows more convergence to words the acceptable solution. Here 6-DOF industrial robot is designed and the joint angles are simulated with the robo analyzer method.

2014

technologies, and programmable machines such as industrial robots, are used to increase productivity and quality for competitiveness on a global market. Development of increasingly flexible manufacturing systems has resulted in an increasing importance of software aspects, both on a system level and for efficient interaction with human operators. Trends toward providing customized products increase the need for flexibility, which implies a need to build modular systems that are flexible enough to handle frequent changes in production operations and product designs.One of the basic elements of the robot is a robot control, which is defined as all the technology needed to control the electromechanical system of industrial robots. Modeling, identification and model-based control can reduce the cost of the robot, to increase efficiency. It is possible to increase the resolution of requests from new concepts and new automation application process. Modelbased management, compensation, fault kinematics, optimal power management means a lot to use robots in industry. In the future, is expected to increase the importance of different sensors and thus increase intelligence of robot and its work in an industrial environment.

2011

In this research, a 6-axis robot manipulator arm is designed and constructed for industrial applications. Then, the robot arm motion is controlled in a position mode by users’ specified angular motion of each joint so that the robot arm can move to desired locations with high accuracy even with load variation and repeatability less than 10 micrometer. A motion control has been developed within Visual C++.NET to control individual or combined joints’ position, velocity, acceleration. The purposes of this robot-arm motion-control implementation are to accelerate users’ learning process and to interact with the industrial robot in a user-friendly environment.

Advanced manufacturing technologies, and programmable machines such as industrial robots, are used to increase productivity and quality for competitiveness on a global market. Development of increasingly flexible manufacturing systems has resulted in an increasing importance of software aspects, both on a system level and for efficient interaction with human operators. Trends toward providing customized products increase the need for flexibility, which implies a need to build modular systems that are flexible enough to handle frequent changes in production operations and product designs.One of the basic elements of the robot is a robot control, which is defined as all the technology needed to control the electromechanical system of industrial robots. Modeling, identification and model-based control can reduce the cost of the robot, to increase efficiency. It is possible to increase the resolution of requests from new concepts and new automation application process. Model-based manag...

An intelligent industrial robot is a remarkably useful combination of a manipulator, sensors and controls. The use of these machines in factory automation can improve productivity, increase product quality and improve competitiveness. Robots have been created to perform a wide variety of tasks spanning from educational robots in classrooms, to arc welding robots in the automobile industry, to teleoperated robot arms and mobile robots in space. This chapter focuses on the application of industrial robots within a manufacturing setting, and their contribution to further enhance their capabilities for flexibility in automation. In proper selection of a robot, one has to consider the various robot characteristics such as the way the robot links are connected and controlled at each joint. Next, a comprehensive review of the robot kinematics, dynamics and control strategies along with a treatment of the artificial neural network will describe the recent attempts to advance the development of intelligent control systems for industrial robots. 2 variety of tasks." The most common types of manipulators may be modeled as an open kinematic chain of rigid bodies called links, interconnected by joints. Some have closed kinematic chains such as four bar mechanisms for some links. The typical industrial robot is mounted on a fixed pedestal base which is connected to other links. The endeffector attaches to the free end and enables the robot to manipulate objects and perform required tasks. Hard automation is differentiated because of the single function.

2019

Industrial robots are the most widely manufactured and used types of robots in the production sector. To achieve a high degree of performance, various parameters and characteristics of robots should be known. Nowadays various tools are used for simulation, modeling, and analysis of a robot to assist in the enhancement and improvement of the robotic operations. The first objective of this article is to derive the complete (forward and inverse) kinematic and dynamic model of a 6DoF robotic manipulator through both analytical and software-numeric approaches. The second objective is to study the results of the combination of investigative tools across different domains to perform the same analysis such as 3D CAD Modelling, kinematic analysis using Robotic Toolbox in MATLAB and dynamic analysis using Robo-Analyzer. Hence, the novelty of this research lies in plotting a simplified complete analysis for early stage robotic researchers of any robotic manipulator that can be easily derived f...

IOP Conference Series: Materials Science and Engineering

In this paper, we present the process of kinematic modeling and simulation, in ADAMS MBS of MSC software, of an articulated robot with six revolute joints, through direct and inverse kinematics. First, by using the STEP function, we define a spatial trajectory of the end effector, and, through inverse kinematics, we determine the motion laws of the six revolute joints. Then, we apply the inverse process on another virtual model of the same robot, by imposing the motion laws to the joints, to obtain the desired trajectory of the end effector, through direct kinematics. This work is a small part of our research regarding modeling and optimization of the industrial robots' motion.

ANNALS OF THE ORADEA UNIVERSITY. Fascicle of Management and Technological Engineering.

This paper is the result of a short literature review on the kinematics and dynamics of the industrial robots, a first study conducted in a wider research that will be further developed in the field of the trajectory generating mechanisms of the industrial robots. After an introduction about the importance of the robots in the industrial processes and about the necessity to streamline and optimize the robot's motion, are presented some recent approaches related to the kinematic and dynamic analysis, the optimization of the robot's motion, and modeling of the trajectory generating mechanism of the industrial robots.

Similarly for the rotations around the other axes. Control of industrial robots -Review of robot kinematics -P. Rocco [5] J a J a J J J a J a J J     2 1 3 J  J    J 2 solutions Control of industrial robots -Review of robot kinematics -P. Rocco [26]

2006